[{"name":"S2-2501357","title":"LS from RAN WG1: Reply LS on data collection to enable ML model training and inference in 5GC for Direct AI\/ML based positioning","source":"RAN WG1 (R1-2405578)","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"RAN WG1 thanks SA WG2 for the LS on data collection to enable ML model training and inference in 5GC for direct AI\/ML based positioning. RAN WG1 would like to provide the responses to the following questions in SA WG2 LS (S2-2405833) based on RAN WG1 progress up to RAN WG1#117 meeting. {. . .}. Furthermore, RAN WG1 would like to notify SA WG2 of the following: (a) RAN WG1 is still working on further details of training data collection and model inference of Case 3b and 2b. RAN WG1 may provide additional input to SA WG2 in the future. (b) For the related RAN work item (NR_AIML_air), Rel-19 WID (RP-240774) has assigned Case 3b 1st priority, and Case 2b 2nd priority. (c) Note: in RAN WG1 agreement, 'AI\/ML based positioning' by itself refers to all positioning cases, including Case 3b and 2b. (d) Note: the working assumptions and agreements above are based on RAN WG1 understanding for RAN work item (NR_AIML_air). Action: RAN WG1 respectfully asks SA WG2 to take the above into account in their future work.","secretary_remarks":"Revision of Postponed S2-2500005 from SA2#166AHE. Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20180,"status":"postponed","reservation_date":"2025-01-27 14:23:24","uploaded":"2025-01-28 07:20:52","revisionof":"S2-2500005","revisedto":"S2-2502792","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG2, RAN WG3.","lsoriginalls":"R1-2405578","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501357.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501364","title":"LS from RAN WG1: LS on signalling feasibility of dataset and parameter sharing","source":"RAN WG1","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Information","abstract":"The Rel-19 two-sided AI\/ML CSI compression study for AI\/ML Air Interface has the following study objectives (RP-242399; revision of RP-240774) {. . .}","secretary_remarks":"Revision of Postponed S2-2500041 from SA2#166AHE. Response drafted in S2-2501837. Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20710,"status":"postponed","reservation_date":"2025-01-27 14:23:24","uploaded":"2025-01-28 07:20:52","revisionof":"S2-2500041","revisedto":"S2-2502793","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG2","Cc":"SA WG2, SA WG3","lsoriginalls":"R1-2410922","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501364.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501372","title":"LS from TSG RAN: LS on AI\/ML UE sided data collection","source":"TSG RAN","contact":"Maurice Pope","contact-id":648,"tdoctype":"LS in","for":"Action","abstract":"TSG RAN respectfully thanks SA WG WG2\/SA WG5 for their response LSs on AI\/ML UE side data collection. TSG RAN continued further discussions in RAN#106 and has agreed to a way forward in RP-243307. {. .}. Action: TSG RAN kindly asks TSG SA to start studying the transfer of data over UP for solution 2 in SA WG WG2 and transfer of data over UP for solution 3 in SA WG WG5 and provide feedback to TSG RAN and RAN WG WG2.","secretary_remarks":"Revision of Postponed S2-2500055 from SA2#166AHE. Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20770,"status":"postponed","reservation_date":"2025-01-27 14:23:24","uploaded":"2025-01-28 07:20:52","revisionof":"S2-2500055","revisedto":"S2-2502795","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"TSG SA, SA WG2","Cc":"RAN WG2","lsoriginalls":"RP-243316","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501372.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501387","title":"LS from RAN WG2: Reply LS to SA WG2 on LMF-based AI\/ML Positioning for Case 2b","source":"RAN WG2","contact":"Boubacar Kimba dit Adamou","contact-id":56689,"tdoctype":"LS in","for":"Action","abstract":"RAN WG2 thanks SA WG2 for the liaison in R2-2500062 [S2-2501133] to inform about the progress on LMF-involved AI\/ML positioning case 2b. Regarding the inquiry by SA WG2 to provide current progress and future work plans, RAN WG2 has discussed the liaison, and RAN WG2 would like to provide the following feedback: - Current progress: As per WID RP-243244, LMF-based AI\/ML Positioning for Case 2a and Case 2b are second priority use cases, RAN WG2 has not made any discussion or agreement on Case 2a and Case 2b. - RAN WG2 future work plan: RAN WG2 does not have any plan to work on Case 2a and Case 2b in Rel-19. Action: RAN WG2 kindly asks SA WG2 to take the above feedback for AI\/ML positioning use cases into account.","secretary_remarks":"Received at meeting. Postponed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19120,"status":"postponed","reservation_date":"2025-01-27 14:23:24","uploaded":"2025-02-19 10:18:46","revisionof":"","revisedto":"S2-2502802","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"SA WG2","Cc":"RAN WG1, RAN WG3","lsoriginalls":"R2-2501507","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501387.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501440","title":"Clarifications on intermediate training result and intermediate model training information","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the content inside gradient information and loss information, adding two notes saying that they are up to implementation.","secretary_remarks":"Revised in parallel session to S2-2502261.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19980,"status":"revised","reservation_date":"2025-02-05 09:25:35","uploaded":"2025-02-08 06:47:33","revisionof":"","revisedto":"S2-2502261","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1377.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501440.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501441","title":"Clarifications on VFL inference","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL inference filter is derived form Analytics filter and target of VFL inference is derived from target of analytics reporting.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20560,"status":"not treated","reservation_date":"2025-02-05 09:25:36","uploaded":"2025-02-08 06:47:33","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1378.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501441.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501442","title":"General maintenance of KI#1","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Delete Note 3 in clause 7.1.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20320,"status":"not treated","reservation_date":"2025-02-05 09:25:38","uploaded":"2025-02-08 06:47:33","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1379.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501442.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501443","title":"General maintenance of KI#4","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Adding agreed data collection source of NWDAF.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20780,"status":"not treated","reservation_date":"2025-02-05 09:25:39","uploaded":"2025-02-08 06:47:33","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1380.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501443.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"4.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501447","title":"VFL high level description refinements","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Terminology alignment, wording improvement of high level description of VFL. EN clean up in clause 5.4.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20640,"status":"not treated","reservation_date":"2025-02-06 02:47:56","uploaded":"2025-02-08 06:47:33","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1381.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501447.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501449","title":"EN removal for clarification of VFL high level description","source":"KDDI, LG Electronics","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: For avoide missunderstanding, clarify the VFL scenario when AF is VFL server, 'When AF is acting as VFL Server, NWDAF(s) is VFL Client(s).' Intending to clarify that this release exclude the scenario that AF is server, other AF(s) is client. Remove the ENs in clause 5.4 to correctlly implement the change of S2-2412734, which was agreed. Remove the EN, because there is no need to add major functionality in this release. Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added. Remove the EN because whether to support changes in the sample is to be discussed in 6.2H. Editor's note: Whether and how change of samples during a VFL training is supported is FFS. Added description for VFL client functionality for using the intermiediate training information received from the VFL server. Clarify the wording 'intermediate traning result' from the VFL client to VLF server and 'intermediate model training information' from VFL server to VFL client.","secretary_remarks":"Revision of (Postponed) S2-2500268. Revised in parallel session to S2-2502258, merging S2-2501701","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20590,"status":"revised","reservation_date":"2025-02-06 08:25:58","uploaded":"2025-02-07 09:23:07","revisionof":"S2-2500268","revisedto":"S2-2502258","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1329.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501449.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501450","title":"KI#1 AMF exposing RAN overload to LMF","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The AMF event exposure service is extended with an event to expose RAN overload Editorial corrections for the bullet about total signalling maessurements","secretary_remarks":"Revision of (Unhandled) S2-2500111 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20850,"status":"not treated","reservation_date":"2025-02-06 11:27:59","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2500111","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5126.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501450.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501451","title":"Support of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung [Nokia, Apple, ZTE, Lenovo, OPPO]","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Rev1: Minor clarification on VFL client information sharing. Remove invalid VFL scenario from Step 2 of clause 6.2H.2.4.1. Other Rev0: Introduce new steps to support VFL model training and inference with VFL client information sharing on top of the agreed procedures. Remove ENs relevant to VFL client information sharing.","secretary_remarks":"Revision of (Postponed) S2-2500232. Revised in parallel session to S2-2502265.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20100,"status":"revised","reservation_date":"2025-02-06 11:33:40","uploaded":"2025-02-10 17:11:55","revisionof":"S2-2500232","revisedto":"S2-2502265","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1327.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501451.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501452","title":"Discussion on supporting VFL model training with client intermediate results sharing between VFL clients","source":"Samsung","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"discussion","for":"Discussion","abstract":"This DP discusses how to support client intermediate result aggregation by VFL client to enhance VFL efficiency and protect 5GS privacy. Detailed procedures are in S2-2501451.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20380,"status":"not treated","reservation_date":"2025-02-06 11:35:33","uploaded":"2025-02-10 17:11:55","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501452.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501453","title":"KI#1: Resolving open issues for LMF data exposure","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Requested type of meassurements (UE based meassurements and\/or NG RAN based meassurements) and target ground truth label precision are added as input parameters to the Nlmf_DataExposure_Subscribe service operation. The LMF indicates the type of meassurements (UE based meassurements and\/or NG RAN based meassurements) for which it requests a model in the Nnwdaf_MLModelInfo_Request or Nnwdaf_MLModelProvision_Subscribe service operations.","secretary_remarks":"Revision of (Unhandled) S2-2500112 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20820,"status":"not treated","reservation_date":"2025-02-06 11:38:05","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2500112","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":636.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501453.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":false,"clauses_affected":"6.22.4, 6.22.5, 8.3.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501454","title":"Updates to AI\/ML-based positioning general descriptions","source":"Apple, [CATT]","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"Revision of (Agreed) S2-2501136. Revised in parallel session to S2-2502223.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19260,"status":"revised","reservation_date":"2025-02-06 11:41:53","uploaded":"2025-02-10 17:48:10","revisionof":"S2-2501136","revisedto":"S2-2502223","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":2.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501454.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.0 (new), 5.18.2, 5.18.x(new)","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501455","title":"Updates to AI\/ML-based positioning procedures","source":"Apple, [vivo]","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR proposes updates to AI\/ML-based positioning procedures","secretary_remarks":"Revision of (Agreed) S2-2501139. Revised in parallel session to S2-2502255.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19180,"status":"revised","reservation_date":"2025-02-06 11:46:10","uploaded":"2025-02-10 17:44:42","revisionof":"S2-2501139","revisedto":"S2-2502255","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":2.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501455.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501456","title":"Updates to user consent description","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The following text is added to cl. 6.2.9: 'UE data subject to user consent may also be collected by NWDAF from LMF to perform ML model training and performance monitoring for LMF-based AI\/ML Positioning. In such case, LMF acts as enforcement point for user consent as described in TS 23.273 [39] and shares the data with NWDAF only while user consent is granted and not revoked. '","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20330,"status":"not treated","reservation_date":"2025-02-06 13:45:50","uploaded":"2025-02-10 17:48:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1382.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501456.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.9","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501460","title":"User consent purpose for AI\/ML-based positioning","source":"Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To extend reference to user consent also for TS 23.273 To add model monitoring as purpose To add 'AI\/ML-based Positioning' as purpose","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20350,"status":"not treated","reservation_date":"2025-02-06 15:01:58","uploaded":"2025-02-10 17:48:10","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5334.0,"crrevision":"","crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501460.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501476","title":"KI#1: Considering RAN load when collecting data to train model for positioning","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The LMF may subscribe at an NWDAF for Network Performance Analytics to select times for data collection when NG-RAN is not experiencing extensive load. The LMF may also subscribe at the AMF to RAN overload information in the area where data are to be collected and refrain from data collection when being notified of a RAN overload.","secretary_remarks":"Revision of (Postponed) S2-2500132 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20230,"status":"not treated","reservation_date":"2025-02-06 17:43:13","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2500132","revisedto":"S2-2502899","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":637.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501476.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501477","title":"Triggering VFL model training","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"Triggering VFL model training","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20390,"status":"not treated","reservation_date":"2025-02-06 18:48:22","uploaded":"2025-02-10 23:58:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501477.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501478","title":"Updates to VFL Training \u2013 possible compromise","source":"[Ericsson, Lenovo, InterDigital, OPPO,] Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are based on considerations in S2-2501477. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metrics is enough. Editor's Note: The content of the VFL status report is FFS. Since the Intermediate results\/Intermediate model training information are not specified the convergence reports are mentioned as an example that can be incorporated into these messages. Editor's Note: Whether VFL server sending convergence report to the VFL cli","secretary_remarks":"Revision of (Endorsed) S2-2501134 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19560,"status":"not treated","reservation_date":"2025-02-06 19:12:19","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2501134","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":2.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501478.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501479","title":"Updates to VFL Training - no new training triggers","source":"[Ericsson, Lenovo, InterDigital, OPPO], Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so follwing EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Possibility to change samples is introduced in the procedures, so follwing EN is resolved Editor's Note: Whether and how change of samples during a VFL training is supported is FFS. Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are based on considerations in S2-2501477,. This, solving solvies the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The follwing EN is r","secretary_remarks":"Revision of (Endorsed) S2-2501134. Revised in parallel session to S2-2502252 (withdrawn). Merged into S2-2502490","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19580,"status":"revised","reservation_date":"2025-02-06 20:41:33","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2501134","revisedto":"S2-2502252","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501479.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501480","title":"User consent for model training","source":"Ericsson, AT&T","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR proposes option 1 (if option 2 is preferred this CR needs to include second change only) Clarify that user consent provided for training of a ML Model includes the maintenance of the ML Model. Remove references to consumer of user consent not to overload the subscription data in UDM.","secretary_remarks":"Revised to S2-2502174","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20360,"status":"revised","reservation_date":"2025-02-06 20:59:04","uploaded":"2025-02-10 21:58:09","revisionof":"","revisedto":"S2-2502174","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5336.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501480.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501481","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor\u00b4s Note.","source":"Ericsson, AT&T","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent. Changes compared with rev.1 (if option 2 is preferred this CR needs to include third change only) A NOTE is to explain that user consent is obatained when the LMF starts training the model and then the LMF uses the user consent during the maintenance of the ML Model. A NOTE is added to indicate that when the user consent is revoked the LMF may take actions towards the trained model that are internal and out of the scope of 3GPP. The Editor s Note related to user consent checking with SA WG3 is removed as it appears in other clauses and is not anylonger related to the questions that motivated to send an LS to SA WG3.","secretary_remarks":"Revision of (Agreed) S2-2501348. Revised in parallel session to S2-2502226.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19370,"status":"revised","reservation_date":"2025-02-06 20:59:05","uploaded":"2025-02-10 21:58:09","revisionof":"S2-2501348","revisedto":"S2-2502226","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501481.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501482","title":"Updates to AI\/ML-based positioning procedures","source":"[Apple, vivo] Ericsson, AT&T","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Proposes that LMF retrieves user consent for data collection for training, and reuses it for monitoring the performance of the model","secretary_remarks":"Revision of (Agreed) S2-2501139 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20250,"status":"not treated","reservation_date":"2025-02-06 20:59:06","uploaded":"2025-02-10 21:58:09","revisionof":"S2-2501139","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":3.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501482.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2, 6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501483","title":"Resolving ENs for VFL including triggering of Training","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"discussion","for":"Agreement","abstract":"Explains how ML Model Provisoining service and VFLTraining is used to trigger VFL training.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20400,"status":"not treated","reservation_date":"2025-02-06 20:59:06","uploaded":"2025-02-10 21:58:09","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501483.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501484","title":"Resolving ENs for VFL","source":"Ericsson, OPPO, [Lenovo, InterDigital, Nokia, KDDI]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of (Endorsed) S2-2501134. 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{"name":"S2-2501485","title":"KI#2: VFL services","source":"[Nokia,] Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL New in SA WG2#167 Resolving Editor s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed. and Editor s note: addition of Feature ID as input parameter is FFS. It is also FFS whether VFL correlation ID is optional or mandatory by introducing parameters for the NWDAF VFLTraining Resolving Editor s note: It is ffs whether this service can also be provided by an NWDAF acting as VFL server to enable a consumer to request VFL according to endorsed solution in clause 2.2H.2.3 Resolving Editor s note: It is ffs whether this service is also provided by an AF acting as VFL server to enable a consumer to request Training according to endorsed solution in clause 2.2H.2.3 Resolving Editor s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed. by adding same parameters as for NWDAF for AF Resolving Editor s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed. by adding same parameters as for NWDAF for NEF Also adding possibility to start training as described in endorsed solution in clause 2.2H.2.3.2 using NEF VFLTraining service Resolving the last part of the EN Editor s note: Parameters of the service operations are FFS and more will be added when procedures and content of services are agreed. Addition of VFL correlation ID as input parameter is FFS by removing all VFL Correlation IDs in Inference services for now since not part of procedure.","secretary_remarks":"Revision of (Agreed) S2-2501135 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20580,"status":"not treated","reservation_date":"2025-02-06 20:59:07","uploaded":"2025-02-10 21:58:09","revisionof":"S2-2501135","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501485.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":false,"clauses_affected":"7.1, new 7.X, new 7.Y, new X, new Y","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501486","title":"Procedure to collect input data for ML Model training at NWDAF","source":"Ericsson","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update clause 6.22.4 based on Proposal 1, i.e., add ground truth data, define the input parameters that NWDAF can provide in Nlmf_DataExposure service. Update clause 6.22.4 based on Proposal 2, i.e. define input data that NWDAF can collect.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20790,"status":"not treated","reservation_date":"2025-02-06 20:59:08","uploaded":"2025-02-10 21:58:09","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":672.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501486.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501487","title":"Parameters for VFL inference","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"Parameters for VFL inference","secretary_remarks":"Noted in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20410,"status":"noted","reservation_date":"2025-02-06 21:41:17","uploaded":"2025-02-10 23:58:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501487.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501488","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"[OPPO,] Nokia [, Ericsson, Samsung]","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying. A. It is suggested to allow for the Feature ID to be provided for robustness. Otherwise a client can only participate in one VFL training operation and subsequent inference operations for an analytics ID (as it might be assigned to different features in different training operations), and using different clients than used for the model training is also precluded. B. The analytics request can contain additional parameters (as defined in Clause 6.1.3 of TS 23.228) that most likely cannot be handled by the VFL server alone but need to be forwarded to the VFL clients : -","secretary_remarks":"Revision of (Agreed) S2-2501345. Merged into S2-2502253","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19640,"status":"merged","reservation_date":"2025-02-06 21:47:58","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2501345","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501488.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501489","title":"VFL services","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"discussion","for":"Discussion","abstract":"VFL services","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20420,"status":"not treated","reservation_date":"2025-02-06 21:54:56","uploaded":"2025-02-10 23:58:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501489.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501490","title":"KI#2: VFL services","source":"Nokia[, Ericsson]","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revision of (Agreed) S2-2501135. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20570,"status":"not treated","reservation_date":"2025-02-06 21:58:32","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2501135","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501490.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501491","title":"KI#2: Model training service is not applicable for VFL","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: It is clarified in the procedures and services description for model training that they are applicable only for 'Horizontal Federated Learning'.","secretary_remarks":"Revision of (Unhandled) S2-2500150 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20880,"status":"not treated","reservation_date":"2025-02-06 22:06:24","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2500150","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1318.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501491.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2F.1, 6.2F.2, 6.2F.3, 7.10.1, 7.11.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501492","title":"EN Resolution and Further Corrections on QoS and policy assistance analytics","source":"Nokia, [Samsung, Ericsson, Verizon, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon, ETRI]?","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Replace GFBR and MFBR for a QoS flow by GBR and MBR for a service data flow that is what the PCF can provide for a service data flow R02: 1 - Introduce additional parameters in the Analytics Filter, modify the Input Data accordingly so data can be collected with these parameters in mind and update the Output Analytics to indicate the applicability of the analytics. 2 - Remove the associated EN in clause 6.23.1 Changes from 166AH are highlighted","secretary_remarks":"Revision of (Agreed) S2-2501149. Confirm Sources! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20670,"status":"not treated","reservation_date":"2025-02-06 22:12:21","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2501149","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501492.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501493","title":"KI#4 Resolve open issues for mitigation actions","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Confirm tentative text bin Ens to allign with TS 23.288","secretary_remarks":"Revision of (Agreed) S2-2501155 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20750,"status":"not treated","reservation_date":"2025-02-06 22:17:43","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2501155","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5200.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501493.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501494","title":"KI#4: Input data to be collected from PCF have been defined","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove Note that no input data to be collected from PCF have been define","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20740,"status":"not treated","reservation_date":"2025-02-06 22:29:51","uploaded":"2025-02-10 23:58:24","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1383.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501494.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501499","title":"KI#2: VFL services","source":"Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define the following new services to support VFL: Nnwdaf_VflInference, Naf_VflTraining, Naf_VflInference, Nnef_VflTraining, Nnef_VflInference","secretary_remarks":"Revision of (Unhandled) S2-2500144 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20900,"status":"not treated","reservation_date":"2025-02-06 22:59:53","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2500144","revisedto":"S2-2503242","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":5676.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501499.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501544","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"[Ericsson,] Apple","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent. Rev2: Changes in procedure description providing details on user consent handling. EN on use of privacy profile by LMF","secretary_remarks":"Revision of (Agreed) S2-2501348. Confirm CR Revision - CR states 2! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20270,"status":"not treated","reservation_date":"2025-02-07 09:55:37","uploaded":"2025-02-10 17:48:10","revisionof":"S2-2501348","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501544.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501546","title":"Addressing EN in VFL training","source":"Tejas Networks","contact":"Sriganesh Rajendran","contact-id":108019,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: As per the Note of SA WG2#166-E CC#3, S2-2500398r16 was endorsed as the basis for further work in Athens. Editor's note: It is FFS and may depend on the service design: When the clients report the client intermediate training result, it also includes the corresponding VFL correlation ID. In the normal case when a VFL Server subscribes to a client by Notification correlation ID and VFL correlation ID. The Notification Correlation ID is enough for the server to map the response from the client to a particular VFL process. Even in the scenario where a VFL server and a VFL client is part of two different VFL process, there is no need of including VFL correlation ID in the intermediate training results Response from the VFL clients to the VFL server. Because when a VFL server subscribes to a VFL client for training, the subscription request also contains Notififcation correlation ID and VFL correlation ID. The Notification correlation ID will be unique to all the clients and when the VFL client updates the intermediate training results to the VFL server with the same Notification Correlation ID, the VFL server can distinguish the VFL process and client with this Notification Correaltion ID.","secretary_remarks":"Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20630,"status":"agreed","reservation_date":"2025-02-07 10:33:11","uploaded":"2025-02-07 10:36:35","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1384.0,"crrevision":"","crcategory":"C","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501546.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501547","title":"Triggering VFL training - Way Forwards","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"discussion","for":"Agreement","abstract":"Triggering VFL training - Way Forwards","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20430,"status":"not treated","reservation_date":"2025-02-07 10:51:53","uploaded":"2025-02-10 18:49:40","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501547.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501552","title":"Correction on usage of signalling storm analytics for reliability of NF services","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the sentence of SCP actions regarding NF service reliability Some editorial updates in clause 5.21.3.3","secretary_remarks":"Revision of (Unhandled) S2-2500101 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20930,"status":"not treated","reservation_date":"2025-02-07 12:56:58","uploaded":"2025-02-10 12:58:22","revisionof":"S2-2500101","revisedto":"","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5885.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501552.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501553","title":"Clarifying Signalling Storm Analytics","source":"Huawei, HiSilicon, [China Telecom], SK Telecom, [Verizon, NTT DOCOMO]","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1, Clarify what type of abnormal signaling is focused in the signaling storm analytics. 2, Clarify the analytics target and filter information 3, Rewording one of the SCP actions in table 6.22.3-3 4, Rewording the signaling storm analytics explanation in table 7.1-2.","secretary_remarks":"Revision of (Agreed) S2-2501153 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20730,"status":"not treated","reservation_date":"2025-02-07 12:57:14","uploaded":"2025-02-10 12:58:22","revisionof":"S2-2501153","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1313.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501553.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.1, 6.22.2, 6.22.3, 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501573","title":"Sample update during VFL training","source":"Apple, [Ericsson,] Samsung, ETRI, Futurewei","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removed EN from clause 5.4. In clause 6.2H.2.3.1: Step 2: added that checkpoint information from VFL server to client may be provided as described in 6.2H.3 Step 4: added that VFL client may indicate loss of samples to VFL server as described in 6.2H.3 In clause 6.2H.3, added the checkpoint information from VFL server to client indicates whether VFL clients are required to store the state of models to be used as a fallback from a later iteration if a loss in samples is detected the details of indicating lost samples during a training iteration.","secretary_remarks":"Revision of (Postponed) S2-2500460. Revised in parallel session to S2-2502262.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20000,"status":"revised","reservation_date":"2025-02-07 15:05:03","uploaded":"2025-02-10 21:04:48","revisionof":"S2-2500460","revisedto":"S2-2502262","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1342.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501573.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501630","title":"Sample ID intersection when untrusted AF acting as VFL server","source":"Samsung [Nokia]","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove EN on NEF work during VFL preparation in clause 6.2H.2.2.2. Introduce new steps into clause 6.2H.2.2.2 to support NWDAF VFL client to determine the sample ID intersection.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19810,"status":"not treated","reservation_date":"2025-02-07 17:05:10","uploaded":"2025-02-10 17:11:55","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1385.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501630.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501638","title":"Modifications on ML Model retrieval service","source":"[ZTE], Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF may retrieve ML Model from ADRF. R01: Add LMF as a consumer for ML Model retrieval from ADRF in clause 6.2B.7","secretary_remarks":"Revision of (Agreed) S2-2500083. Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20200,"status":"not treated","reservation_date":"2025-02-07 23:45:29","uploaded":"2025-02-10 18:51:51","revisionof":"S2-2500083","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1302.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501638.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2A.1, 6.2B.7, 10.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501639","title":"Updates to AI\/ML-based positioning general descriptions","source":"[Apple], [CATT],Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"Revision of (Agreed) S2-2501136. Revised in parallel session to S2-2502233.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19820,"status":"revised","reservation_date":"2025-02-07 23:48:19","uploaded":"2025-02-10 18:51:51","revisionof":"S2-2501136","revisedto":"S2-2502233","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":3.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501639.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.0 (new), 5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501640","title":"Clarification on LMF requesting ML model for LMF-based AI\/ML Positioning from the NWDAF containing MTLF","source":"[CATT], [ ZTE], Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update the ML model requesting procedure in clause 6.22.5 to align with clause 5.18, and also modify description of step 6. Clarify that LMF may retrieve ML Model from ADRF. Editorial modifications.","secretary_remarks":"Revision of (Agreed) S2-2501137. Revised in parallel session to S2-2502224.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19290,"status":"revised","reservation_date":"2025-02-07 23:50:33","uploaded":"2025-02-10 18:51:51","revisionof":"S2-2501137","revisedto":"S2-2502224","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":657.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501640.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501646","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"OPPO, [Nokia, Ericsson, Samsung]","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Add the description on how to trigger the VFL inference procedure. The VFL training procedure can also be triggerd based on the analytics request from the consumer before the VFL server initiate the VFL inference. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying. Editor's note: Parameters in the triggering of inference and Analytics is FFS.","secretary_remarks":"Revision of (Agreed) S2-2501345. Revised in parallel session to S2-2502253, merging S2-2502019 and S2-2501488","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19600,"status":"revised","reservation_date":"2025-02-08 02:24:11","uploaded":"2025-02-10 07:38:30","revisionof":"S2-2501345","revisedto":"S2-2502253","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501646.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501647","title":"KI#2: VFL services","source":"[Nokia, Ericsson], OPPO","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL","secretary_remarks":"Revision of (Agreed) S2-2501135. Merged into S2-2502229","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20140,"status":"merged","reservation_date":"2025-02-08 02:27:17","uploaded":"2025-02-10 07:38:30","revisionof":"S2-2501135","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501647.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501648","title":"Modifications on ML Model retrieval service","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF may retrieve ML Model from ADRF. Rev 02 adds some references and additional supplementary changes in clause 6.2B.7 to make the ML Model retrieval procedure more comprehensive. The addtional changes on rev 02 are highlighted in green.","secretary_remarks":"Revision of (Agreed) S2-2500083. Revised in parallel session to S2-2502225.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19320,"status":"revised","reservation_date":"2025-02-08 03:19:15","uploaded":"2025-02-10 11:04:40","revisionof":"S2-2500083","revisedto":"S2-2502225","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1302.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501648.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2A.1, 6.2B.7, 10.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501669","title":"Clarification on number of UEs for data collection and data source type","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF may limit the maximum number of UEs for data collection. NWDAF may include the data source type to subsribe the input data from LMF.","secretary_remarks":"Revision of (Unhandled) S2-2500197 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20800,"status":"not treated","reservation_date":"2025-02-08 07:14:48","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2500197","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":641.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501669.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2, 6.22.4, 8.3.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501670","title":"NWDAF registration and discovery for AI positioning","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The factor of supporting model training for LMF-based AI\/ML Positioning is considered in NWDAF discovery and selection.","secretary_remarks":"Revision of (Agreed) S2-2501141 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20340,"status":"not treated","reservation_date":"2025-02-08 07:14:58","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2501141","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5011.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501670.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2, 5.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501671","title":"Updates to AI\/ML-based positioning general descriptions","source":"[Apple, CATT], vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Following changes are proposed in this CR: 1st EN is removed, and A NOTE is added indicating the input data for AIML-based positioning is not in the scope of this specification. The 2nd and 3rd ENs are resolved Additional miscellaneous editorial clarifications as well as clarifying that user consent is not needed for performance monitoring data from PRU. Clarify the output information provided by the NWDAF for ML model provisioning. Clarify that the LMF or NWDAF containing MTLF may trigger ML model retraining based on model performance monitoring result.","secretary_remarks":"Revision of (Agreed) S2-2501136 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20210,"status":"not treated","reservation_date":"2025-02-08 07:15:18","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2501136","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501671.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.0 (new), 5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501672","title":"Clarification on data collection by LMF for LMF-based AIML Positioning","source":"[CATT], vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the AMF optionally provides UE positioning capabilities to the LMF. Further clarify that user consent check is not needed for data collection from the PRUs for LMF-based AI\/ML positioning.","secretary_remarks":"Revision of (Agreed) S2-2501138 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20240,"status":"not treated","reservation_date":"2025-02-08 07:15:19","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2501138","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":656.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501672.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.1, 6.22.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501673","title":"Interaction between consumer and VFL server for VFL inference","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Clarify the interaction between the consumer and VFL server happens during the VFL inference procedure. 2 Delete several ENs related to 1","secretary_remarks":"Revision of (Unhandled) S2-2500201 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20890,"status":"not treated","reservation_date":"2025-02-08 07:15:34","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2500201","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1324.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501673.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501674","title":"NEF work during VFL preparation procedure","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Address the EN by clarifying in clause 6.2H.2.2.2 that the NEF may do sample IDs intersection work when untrusted AF is VFL server,","secretary_remarks":"Revision of (Unhandled) S2-2500202 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20870,"status":"not treated","reservation_date":"2025-02-08 07:15:35","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2500202","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1325.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501674.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501675","title":"Enhancements for the accuracy monitoring of VFL training","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL Server should indicate the sample IDs for training and the sample IDs for validation to the VFL clients. Remove some ENs in clause 6.2H.2.3.1.","secretary_remarks":"Revision of (Postponed) S2-2500655. Revised in parallel session to S2-2502263.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20020,"status":"revised","reservation_date":"2025-02-08 07:15:37","uploaded":"2025-02-10 10:39:17","revisionof":"S2-2500655","revisedto":"S2-2502263","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1355.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501675.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501676","title":"Adding VFL related services supported by NEF and AF","source":"Vivo, [Nokia, KDDI]","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the VFL related service operations. Add the VFL capability registered by AF.","secretary_remarks":"Revision of (Agreed) S2-2501148. Revised in parallel session to S2-2502230.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19690,"status":"revised","reservation_date":"2025-02-08 07:15:40","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2501148","revisedto":"S2-2502230","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5266.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501676.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501677","title":"Update on the contents of VFL related services","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a new clause to describe the contents of VFL inference service.","secretary_remarks":"Revision of (Unhandled) S2-2500658 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20860,"status":"not treated","reservation_date":"2025-02-08 07:15:41","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2500658","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1357.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501677.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.2, 6.2H.X(new).","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501678","title":"KI#2 - update to registration and discovery procedure","source":"[InterDigital, Nokia, KDDI, OPPO, LGE, Ericsson, Samsung], vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"This CR addresses a number of Editor's notes pointing at incomplete procedures that need to be completed for the correct execution of VFL discovery.","secretary_remarks":"Revision of (Agreed) S2-2501143 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20460,"status":"not treated","reservation_date":"2025-02-08 07:15:42","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2501143","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1370.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501678.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.5, 6.2H.2.1.1, 6.2H.2.1.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501679","title":"Resolving ENs for VFL","source":"[Ericsson, Lenovo, InterDigital, OPPO, Nokia], vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of (Revised) S2-2500398 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20510,"status":"not treated","reservation_date":"2025-02-08 07:15:42","uploaded":"2025-02-10 10:36:36","revisionof":"S2-2500398","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501679.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501699","title":"Clarify the output of QoS and Policy Assistance Analytics in 23.288","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: RAN performance data collected from the OAM defined in clause 6.6.2 in TS 23.288 is added as input. Delete 'Applicable duration of QoS and Policy Assistance information' in the output table.","secretary_remarks":"Confirm Spec version used - CR states 19.0.0! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20690,"status":"not treated","reservation_date":"2025-02-08 12:03:44","uploaded":"2025-02-09 07:35:16","revisionof":"","revisedto":"S2-2503410","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1386.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501699.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501700","title":"Adding new LMF Selection Factor","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A new factor is added for LMF selection by AMF, which is associated with the AI\/ML capabilities for positioning of LMFs.","secretary_remarks":"Revised in parallel session to S2-2502221.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19130,"status":"revised","reservation_date":"2025-02-08 12:06:33","uploaded":"2025-02-09 07:35:16","revisionof":"","revisedto":"S2-2502221","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":676.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501700.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501701","title":"Clarification on the description of VFL Server and VFL Client","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarifications on the description of VFL Server and VFL Client are made and some ENs are removed.","secretary_remarks":"Merged into S2-2502258","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20650,"status":"merged","reservation_date":"2025-02-08 12:17:43","uploaded":"2025-02-09 07:35:16","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1387.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501701.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501702","title":"Clarification on LMF as service consumer for ML Model Training","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the LMF can be the service consumer of Nnwdaf_MLModelTraining and Nnwdaf_MLModelTrainingInfo service operation.","secretary_remarks":"Revised in parallel session to S2-2502235.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19930,"status":"revised","reservation_date":"2025-02-08 12:20:47","uploaded":"2025-02-09 07:35:16","revisionof":"","revisedto":"S2-2502235","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1388.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501702.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1, 7.10.1, 7.11.1;","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501703","title":"NF discovery for signaling data collection related to signaling storm analytics","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to Nnrf_NFDiscovery service that if the service consumer wants to get the whole list NF instances of the slice or area, it will provide a wildcard to the NF serive name and NF type as the input parameters.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20760,"status":"not treated","reservation_date":"2025-02-08 12:22:45","uploaded":"2025-02-09 07:35:16","revisionof":"","revisedto":"S2-2503411","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5350.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501703.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501709","title":"Editorial improvement on QoS and policy assistance analytics","source":"[Samsung, Ericsson, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon, ETRI] Verizon","contact":"Peretz Feder","contact-id":94345,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editorial changes of the call flow diagram in clause 6.23.4.","secretary_remarks":"Revision of (Agreed) S2-2501149. Revised in parallel session to S2-2502259, merging S2-2501880","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19750,"status":"revised","reservation_date":"2025-02-09 05:00:00","uploaded":"2025-02-09 05:10:32","revisionof":"S2-2501149","revisedto":"S2-2502259","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501709.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501761","title":"CR for 23.501 AIML_CN SCP related alignment","source":"Vivo","contact":"Li Hu","contact-id":104884,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Alignment with new defined SCP services.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20910,"status":"not treated","reservation_date":"2025-02-10 00:50:25","uploaded":"2025-02-10 03:05:53","revisionof":"","revisedto":"S2-2503282","release":"Rel-19","crspec":"23.501","crspecversion":"19.2.1","workitem":[{"winame":"AIML_CN"}],"crnumber":6108.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501761.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501782","title":"KI#2: VFL services","source":"[Nokia, Ericsson], LG Electronics","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL Rev. 10 Feature ID is included as optional input parameter for Nnwdaf_VFLTraining_Subscribe, Naf_VFLTraining_Subscribe, and Nnef_VFLTraining_Subscribe service operations, and remove related ENs Feature ID is included as optional output parameter for Nnwdaf_VFLTraining_Request, Nnef_VFLTraining_Request, and Naf_VFLTraining_Request service operation, and remove related EN. VFL Correlation ID is included as optional input parameter for Nnwdaf_VFLInference_Subscribe service operation, and remove related EN","secretary_remarks":"Revision of (Agreed) S2-2501135. Revised in parallel session to S2-2502229, merging S2-2501647","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19660,"status":"revised","reservation_date":"2025-02-10 02:18:00","uploaded":"2025-02-10 11:23:10","revisionof":"S2-2501135","revisedto":"S2-2502229","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501782.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501823","title":"Clarification on data collection by LMF from NG-RAN for LMF-based AIML Positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the description on LMF requesting input data from other PRU serving LMFs. Clarifications on AMF discovery, user consent check for PRUs and ground truth data. Further clarifications on how the input data is used for model training and model performance monitoring. Editorial modifications, e.g. changing 'AI\/ML model' to 'ML model'.","secretary_remarks":"Revised in parallel session to S2-2502234.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19860,"status":"revised","reservation_date":"2025-02-10 04:17:51","uploaded":"2025-02-10 09:05:34","revisionof":"","revisedto":"S2-2502234","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":682.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501823.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501824","title":"Clarification on model performance monitoring for LMF-based AIML Positioning","source":"CATT, vivo, Intel","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the input parameters provided by the NWDAF to LMF for data collection. Clarify that for ML model performance monitoring by NWDAF, the NWDAF shall provide the ML model identifier to the LMF, and the LMF sends the location of PRU(s)\/UE(s) estimated using the ML model and the measurement data to the NWDAF. Modify the descriptions on input data, e.g. clarifying the input data includes location measurement data and ground truth data (i.e. locations of PRUs\/UEs) for ML model training and performance monitoring, changing 'data samples' to 'input data'. Clarify the termination of subscription for data collection from the LMF.","secretary_remarks":"Revision of (Postponed) S2-2500834. Revised in parallel session to S2-2502222.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19220,"status":"revised","reservation_date":"2025-02-10 04:17:52","uploaded":"2025-02-10 09:05:34","revisionof":"S2-2500834","revisedto":"S2-2502222","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":658.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501824.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501829","title":"KI#4: Minor Clarifications and Corrections","source":"ETRI","contact":"JongGwan An","contact-id":102599,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changed 'Signaling' to 'Signalling' for consistency. Fixed a typo ('messges' to 'messages') in Table 6.22.3-3. Replaced 'subgroup of input data' to 'subset of input data' to make it clearer.","secretary_remarks":"Revised in parallel session to S2-2502232.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19790,"status":"revised","reservation_date":"2025-02-10 04:21:03","uploaded":"2025-02-10 08:25:26","revisionof":"","revisedto":"S2-2502232","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1391.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501829.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501834","title":"Clarification on data collection from PRU","source":"Xiaomi","contact":"Tingfang Tang","contact-id":100554,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a note for clarification on behavior for data collection from PRU.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20810,"status":"not treated","reservation_date":"2025-02-10 05:07:09","uploaded":"2025-02-10 13:54:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":683.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501834.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501835","title":"UE LCS privacy check for ground truth data collection","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF need to perform UE LCS privacy check before the ground truth data collection from UE.","secretary_remarks":"Revised in parallel session to S2-2502254, merging S2-2502008","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19160,"status":"revised","reservation_date":"2025-02-10 05:17:37","uploaded":"2025-02-10 06:49:50","revisionof":"","revisedto":"S2-2502254","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":684.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501835.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501836","title":"UE LCS privacy check for ground truth data collection","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF need to perform UE LCS privacy check before the ground truth data collection from UE.","secretary_remarks":"Revised in parallel session to S2-2502257.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19960,"status":"revised","reservation_date":"2025-02-10 05:29:18","uploaded":"2025-02-10 06:49:50","revisionof":"","revisedto":"S2-2502257","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1392.0,"crrevision":"","crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501836.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501837","title":"[DRAFT] Reply LS on Signalling feasibility of data set and parameter sharing","source":"Qualcomm Germany","contact":"Juan Zhang","contact-id":73274,"tdoctype":"LS out","for":"Approval","abstract":"To: RAN WG1, SA WG5. CC: RAN WG2, SA WG3. Attachments: -.","secretary_remarks":"Revision of (Postponed) S2-2500320. Response to S2-2501364 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20720,"status":"not treated","reservation_date":"2025-02-10 05:31:55","uploaded":"2025-02-10 06:49:50","revisionof":"S2-2500320","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"FS_NR_AIML_air"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"RAN WG1","Cc":"RAN WG2, SA WG3, SA WG5","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501837.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501848","title":"Corrections on QoS and policy assistance analytics","source":"[Samsung, Ericsson, Verizon, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon, ETRI,] CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Replace GFBR and MFBR for a QoS flow by GBR and MBR for a service data flow that is what the PCF can provide for a service data flow. Resolve the following ENs: Editor's note: The other filter information is FFS, e.g. PDU Session Type, SSC Modem PLMN ID, etc. Clarify the events that the NWDAF uses to collect input data in Table 6.23.2-1 from the SMF. And modify the description of input data, including removing 'Used QoS profile'.","secretary_remarks":"Revision of (Agreed) S2-2501149 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20680,"status":"not treated","reservation_date":"2025-02-10 06:23:27","uploaded":"2025-02-10 09:05:34","revisionof":"S2-2501149","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":4.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501848.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501855","title":"Updates of input data collection from LMF","source":"Huawei, HiSilicon, ZTE, [Apple,] China Telecom","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Remove the following EN. Editor's note: It's FFS how to adapt this procedure to ML model performance monitoring. 2. Remove the following EN, and the PRU related descriptions are added in the procedure of input data collection from LMF and Nlmf_DataExposure service operations. Editor's note: Whether the NWDAF needs to be aware of PRU information and indicate to obtain the PRU information from LMF is FFS. 3. Remove the following EN, and add a quality indication to indicate the LMF to provide the quality indicator of label. Editor's note: Whether the NWDAF needs to indicate target ground truth label precision is also FFS. 4. Make alignment for the name of 'requested number of data samples' and 'Data time window of data samples', and clarify the meaning of 'Data time window of data samples'. 5. Add a cause code to the step 5 of clause 6.22.4 and Nlmf_DataExposure_Notify service operation. 6. Other editorial changes.","secretary_remarks":"Revision of (Postponed) S2-2500588. Merged into S2-2502222","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19890,"status":"merged","reservation_date":"2025-02-10 06:39:57","uploaded":"2025-02-10 11:45:20","revisionof":"S2-2500588","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":650.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501855.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501856","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"[Ericsson], Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent.","secretary_remarks":"Revision of (Agreed) S2-2501348 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20280,"status":"not treated","reservation_date":"2025-02-10 06:39:58","uploaded":"2025-02-10 11:45:20","revisionof":"S2-2501348","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501856.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501857","title":"Clarification on LMF requesting ML model for LMF-based AI\/ML Positioning from the NWDAF containing MTLF","source":"[CATT, ZTE], Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update the ML model requesting procedure in clause 6.22.5 to align with clause 5.18, and also modify description of step 6. Clarify that LMF may retrieve ML Model from ADRF. Editorial modifications.","secretary_remarks":"Revision of (Agreed) S2-2501137 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20220,"status":"not treated","reservation_date":"2025-02-10 06:39:59","uploaded":"2025-02-10 11:45:20","revisionof":"S2-2501137","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":657.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501857.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501858","title":"Updates of ML model provisioning services for LMF-based AI\/ML Positioning","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: 1. Update the parameters of Nnwdaf_MLModelProvision and Nnwdaf_MLModelInfo services operations based on the contents in S2-2412932. 2. Change the name of indication to LMF-based AI\/ML positioning indication to align with agreed proposals in S2-2501140 and S2-2501141.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20830,"status":"not treated","reservation_date":"2025-02-10 06:40:00","uploaded":"2025-02-10 11:45:20","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1393.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501858.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 6.2A.1, 6.2A.2, 6.2A.3, 7.5.2, 7.5.4, 7.6.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501863","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"[Ericsson], Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent.","secretary_remarks":"Revision of (Agreed) S2-2501348 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20290,"status":"not treated","reservation_date":"2025-02-10 07:01:27","uploaded":"2025-02-10 10:38:33","revisionof":"S2-2501348","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501863.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501880","title":"Corrections on QoS and policy assistance analytics","source":"[Samsung, Ericsson, Verizon, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon] ETRI","contact":"ChangSik Lee","contact-id":95981,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Rev1: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Replace GFBR and MFBR for a QoS flow by GBR and MBR for a service data flow that is what the PCF can provide for a service data flow. Rev5: Remove EN regarding the other filter information. Editorial updates and clarifications on QoS and policy assistance analytics.","secretary_remarks":"Revision of (Agreed) S2-2501149. Merged into S2-2502259","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20150,"status":"merged","reservation_date":"2025-02-10 07:38:26","uploaded":"2025-02-10 08:55:02","revisionof":"S2-2501149","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":5.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501880.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501882","title":"User consent check during performance monitoring","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add clarification on the case where user consent is not given during the procedure for MTLF-based AI\/ML model performance monitoring for LMF-based AI\/ML Positioning.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20840,"status":"not treated","reservation_date":"2025-02-10 07:57:55","uploaded":"2025-02-10 10:40:36","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1394.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501882.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2.E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501894","title":"User consent check during performance monitoring","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add clarification on the case where user consent is not given during the procedure for MTLF-based AI\/ML model performance monitoring for LMF-based AI\/ML Positioning.","secretary_remarks":"Revised in parallel session to S2-2502256.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19340,"status":"revised","reservation_date":"2025-02-10 08:41:39","uploaded":"2025-02-10 10:40:36","revisionof":"","revisedto":"S2-2502256","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":688.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501894.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":false,"clauses_affected":"5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501936","title":"Resolving ENs for VFL","source":"[Ericsson], Lenovo, [InterDigital, OPPO, Nokia]","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of (Endorsed) S2-2501134 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20520,"status":"not treated","reservation_date":"2025-02-10 09:47:57","uploaded":"2025-02-10 18:49:40","revisionof":"S2-2501134","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":6.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501936.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501939","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"[OPPO], [Nokia], [Ericsson], [Samsung], Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying.","secretary_remarks":"Revision of (Agreed) S2-2501345 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20540,"status":"not treated","reservation_date":"2025-02-10 09:57:15","uploaded":"2025-02-10 18:49:40","revisionof":"S2-2501345","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501939.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501943","title":"KI#1 - Further clarification on ML Model performance monitoring for AI\/ML positioning","source":"Lenovo, CATT","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF indicates to the NWDAF the ML model to monitor by including the ML model identifier. NWDAF collects the following input data from LMF: - Ground truth information from PRU(s)\/UE(s) by using the procedure of input data collection by NWDAF as specified in clause 6.22.4 of TS 22.273 [39]. - The inference output (location estimation using Direct AI\/ML positioning) of the PRU and\/or UE providing the ground truth data. - optionally, location measurement data for the PRU(s)\/UE(s). .","secretary_remarks":"Revision of (Postponed) S2-2500692. Revised in parallel session to S2-2502227.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19400,"status":"revised","reservation_date":"2025-02-10 10:11:36","uploaded":"2025-02-10 18:49:40","revisionof":"S2-2500692","revisedto":"S2-2502227","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1364.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501943.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501955","title":"KI#1 - Further clarification on input data for ML model training for AI\/ML positioning","source":"Lenovo","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF may store data related to PRU UEs as historical data at ADRF. NWDAF may use historical data for further training and\/or performance monitoring of ML models used for AI\/ML positioning. It is also clarified that the LMF may indicate whether data correspond to a PRU UE or a user UE. .","secretary_remarks":"Revision of (Postponed) S2-2500693. Revised in parallel session to S2-2502478.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19900,"status":"revised","reservation_date":"2025-02-10 10:18:34","uploaded":"2025-02-10 18:49:40","revisionof":"S2-2500693","revisedto":"S2-2502478","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":654.0,"crrevision":1.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501955.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501984","title":"Proposals of VFL training trigger with possible compromise","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"discussion","for":"Agreement","abstract":"This discussion paper presents some possible compromise proposals for VFL training trigger.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20440,"status":"not treated","reservation_date":"2025-02-10 10:48:48","uploaded":"2025-02-10 10:53:50","revisionof":"","revisedto":"","release":"","crspec":"","crspecversion":"","workitem":"","crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501984.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501993","title":"Discussion on SMF events of QoS Flow","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"discussion","for":"Information","abstract":"This paper discusses the SMF events needed for QoS and policy assistance analytics","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20700,"status":"not treated","reservation_date":"2025-02-10 11:06:28","uploaded":"2025-02-10 13:37:32","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501993.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501994","title":"QFI Change event","source":"NTT DOCOMO, CATT, Nokia, Samsung","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Updating the content of the QFI allocation event to include the QoS parameters. - Introduce new 'QoS Flow Binding' event which is sent when traffic flow is bounded to existing QoS Flow - Introduce a new 'QFI deallocation' event which is sent when the QoS Flow is released","secretary_remarks":"Revision of (Agreed) S2-2501152. Revised in parallel session to S2-2502231.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19720,"status":"revised","reservation_date":"2025-02-10 11:10:03","uploaded":"2025-02-10 13:38:45","revisionof":"S2-2501152","revisedto":"S2-2502231","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5237.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501994.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501995","title":"Exposure of control plane signalling information from NFs","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Specifying the control plane signalling information exposed by NFs - Unifying the term used for information about the control plane signallings exposed by NFs - Unified the explanation of the exposed information among different service operations","secretary_remarks":"Revision of (Unhandled) S2-2500355 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20920,"status":"not treated","reservation_date":"2025-02-10 11:13:29","uploaded":"2025-02-10 13:36:13","revisionof":"S2-2500355","revisedto":"S2-2503111","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5238.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501995.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2501996","title":"Correction of NF Signalling Information for Signalling Storm Analytics","source":"NTT DOCOMO","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - NF signalling information is moved from Table 6.22.2-1 to a new Table 6.22.2-7","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20160,"status":"not treated","reservation_date":"2025-02-10 11:18:13","uploaded":"2025-02-10 13:30:31","revisionof":"","revisedto":"S2-2503119","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1400.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2501996.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502007","title":"Update UDM to support user consent of data collection for performance monitoring","source":"Xiaomi","contact":"Tingfang Tang","contact-id":100554,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To extend user consent also for TS 23.273 in UDM To add 'model performance monitoring' as purpose in the table. rev#1 the LMF needs to be added as consumer for the related UDM service for user consent retrieval the description for user consent in Table 5.2.3.3.1-1 is updated with a note to clarify the reference to the related procedure requiring user consent retrival","secretary_remarks":"Revision of (Noted) S2-2501019. Revised in parallel session to S2-2502260.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19430,"status":"revised","reservation_date":"2025-02-10 11:53:54","uploaded":"2025-02-10 13:54:21","revisionof":"S2-2501019","revisedto":"S2-2502260","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5316.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502007.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.3.1, 5.2.3.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502008","title":"Clarification on privacy check for data collection","source":"Xiaomi","contact":"Tingfang Tang","contact-id":100554,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add a note to clarify that no privacy check is performed for data collection when user consent check is performed for model training and performance monitoring.","secretary_remarks":"Merged into S2-2502254","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19850,"status":"merged","reservation_date":"2025-02-10 11:53:55","uploaded":"2025-02-10 13:54:21","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":689.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502008.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502017","title":"Updates on input data of AI\/ML positioning model performance monitoring","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Supply quality related information of ground truth in procedure and remove related Editor's Note in clause 6.22.4. Supply quality related information of ground truth in Nlmf_DataExposure_Subscribe service operation and remove related Editor's Note in clause 8.3.4.2.","secretary_remarks":"Revision of (Postponed) S2-2500629 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20190,"status":"not treated","reservation_date":"2025-02-10 12:28:42","uploaded":"2025-02-10 12:48:37","revisionof":"S2-2500629","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":652.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502017.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.22.4, 8.3.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502019","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"[OPPO, Nokia, Ericsson, Samsung], China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying. SA WG2#167: Add Analytics accuracy monitoring in VFL inference. Improve some wording on description.","secretary_remarks":"Revision of (Agreed) S2-2501345. Merged into S2-2502253","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19650,"status":"merged","reservation_date":"2025-02-10 12:28:44","uploaded":"2025-02-10 12:48:37","revisionof":"S2-2501345","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502019.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502020","title":"Remove misleading content and update consumers in Signalling Storm Analytics","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Remove the misleading description that PCF only collects UE information and remove incorrect NOTE 1 in clause 6.2.2.1. Add UDM as a consumer in Table 7.1-1.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20170,"status":"not treated","reservation_date":"2025-02-10 12:28:45","uploaded":"2025-02-10 12:48:37","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1401.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502020.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2.2.1, 7.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502021","title":"Update event exposure service of PCF","source":"China Telecom","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update the description on Npcf_EventExposure service operation to apply NWDAF collecting NF context data from PCF. Move Group IDs, UE IDs from Required parameters to Optional parameters.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20940,"status":"not treated","reservation_date":"2025-02-10 12:28:46","uploaded":"2025-02-10 12:48:37","revisionof":"","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5369.0,"crrevision":"","crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502021.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2.5.7.2, 5.2.5.7.3, 5.2.5.7.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502033","title":"VFL Accuracy Monitoring","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Extensions of the procedure for MTLF-based ML Model Accuracy Monitoring in clause 6.2E.2 to enable the MTLF-base VFL training accuracy determination.","secretary_remarks":"Revision of (Postponed) S2-2500677 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20530,"status":"not treated","reservation_date":"2025-02-10 12:40:51","uploaded":"2025-02-10 13:10:48","revisionof":"S2-2500677","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1362.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502033.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.X (new), 6.2E.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502034","title":"KI#2 - update to VFL preparation procedure","source":"[InterDigital, Nokia, Ericsson, Futurewei, LGE], Huawei, HiSilicon, ZTE, OPPO","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of VFL preparation procedures. Trusted AF as server case is added to NWDAF as server clause Remove EN about interactions between AFs","secretary_remarks":"Revision of (Agreed) S2-2501347. Revised in parallel session to S2-2502228.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19460,"status":"revised","reservation_date":"2025-02-10 12:41:00","uploaded":"2025-02-10 13:10:48","revisionof":"S2-2501347","revisedto":"S2-2502228","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1371.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502034.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.2.2, 6.2H.2.2.2, 6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502035","title":"Discussion on the update of S2-2501134","source":"Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"discussion","for":"Discussion","abstract":"It proposes to discuss the update of the endorsed paper S2-2501134.","secretary_remarks":"Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20450,"status":"not treated","reservation_date":"2025-02-10 12:41:01","uploaded":"2025-02-10 13:10:48","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502035.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502036","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"[OPPO, Nokia, Ericsson, Samsung], Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying.","secretary_remarks":"Revision of (Agreed) S2-2501345 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20550,"status":"not treated","reservation_date":"2025-02-10 12:41:01","uploaded":"2025-02-10 13:10:48","revisionof":"S2-2501345","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502036.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502041","title":"Adding VFL related services supported by NEF and AF","source":"[Vivo, Nokia, KDDI], Huawei, HiSilicon","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the VFL related service operations. Add the VFL capability registered by AF.","secretary_remarks":"Revision of (Agreed) S2-2501148 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20660,"status":"not treated","reservation_date":"2025-02-10 12:45:40","uploaded":"2025-02-10 13:10:48","revisionof":"S2-2501148","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5266.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502041.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502059","title":"Updates on VFL training and VFL inference to remove ENs","source":"China Telecom, [ZTE, Lenovo, Nokia, ETRI]","contact":"Jiahui LI","contact-id":92933,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: SA WG2#166AHE: Add ML model accuracy monitoring related descriptions in VFL training and remove EN regarding to ML model metric. SA WG2#167: Add local ML model accuracy monitoring information reporting in step 5.","secretary_remarks":"Revision of (Agreed) S2-2501346 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20500,"status":"not treated","reservation_date":"2025-02-10 13:03:15","uploaded":"2025-02-10 13:07:02","revisionof":"S2-2501346","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1353.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502059.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502098","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"[Ericsson], Xiaomi","contact":"Jianning LIU","contact-id":88587,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent. Remove the 'to train models' in title Add the performance monitoring of AIML model in description","secretary_remarks":"Revision of (Agreed) S2-2501348 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20300,"status":"not treated","reservation_date":"2025-02-10 14:43:25","uploaded":"2025-02-10 15:01:33","revisionof":"S2-2501348","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502098.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502104","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"[Ericsson,] Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent.","secretary_remarks":"Revision of (Agreed) S2-2501348 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20310,"status":"not treated","reservation_date":"2025-02-10 14:53:57","uploaded":"2025-02-10 23:58:24","revisionof":"S2-2501348","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502104.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":true,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502105","title":"KI#2 - update to registration and discovery procedure","source":"[InterDigital, Nokia, KDDI, OPPO, LGE,] Ericsson [, Samsung]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"This CR addresses a number of Editor's notes pointing at incomplete procedures that need to be completed for the correct execution of VFL discovery. Changes comparing with rev.1: The NEF performs selection of an NWDAF based on the AF request, as such the NEF provides in the NWDAF ID , anonimized, to the AF, and no additional information is needed that indicates how the NEF selected the NWDAF, that is internals of the MNO that should not be exposed. Adding that a client can perform intersection of samples in preparation and possibly other types of aggregations, solving EN Editor s note: For the VFL preparation procedure, whether and how NEF does pre-work of sample IDs intersection before the VFL server determines the final sample IDs is FFS. Some clean up of text, e.g. removing sending of multiple VFL Interoperability Indicator(s) Removing following text, since it looks like it adds a new capability. 'NWDAF as VFL client registers to NRF with its NF profile, it may include those analytics IDs on which it supports to do VFL with AF as VFL server' This CR contains changes on changes highlighted in yellow","secretary_remarks":"Revision of (Agreed) S2-2501143 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20470,"status":"not treated","reservation_date":"2025-02-10 15:13:48","uploaded":"2025-02-10 21:58:09","revisionof":"S2-2501143","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1370.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502105.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2, 5.5, 6.2H.2.1.1, 6.2H.2.1.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502106","title":"KI#2 - update to VFL preparation procedure","source":"[InterDigital, Nokia,] Ericsson [, Futurewei, LGE]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of VFL preparation procedures. Trusted AF as server case is added to NWDAF as server clause Remove EN about interactions between AFs New in SA WG2#167 Adding intersection of samples in client, resolving Editor s note: For the VFL preparation procedure, whether and how NEF does pre-work of sample IDs intersection before the VFL server determines the final sample IDs is FFS. This CR contains changes on changes highlighted in yellow","secretary_remarks":"Revision of (Agreed) S2-2501347 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20490,"status":"not treated","reservation_date":"2025-02-10 15:13:49","uploaded":"2025-02-10 21:58:09","revisionof":"S2-2501347","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1371.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502106.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502132","title":"Updates to AI\/ML-based positioning procedures","source":"InterDigtial, [Apple, vivo]","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"This CR proposes updates to AI\/ML-based positioning procedures. In Step 4, after user consent checking is performed, the further determination of UEs should be based on the list of UEs that have provided user consent, not on the original list obtained fro","secretary_remarks":"Revision of (Agreed) S2-2501139. Check Category - CR states {{Rev Marks}}!. Confirm CR Revision - CR states 2! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20260,"status":"not treated","reservation_date":"2025-02-10 17:26:55","uploaded":"2025-02-10 19:10:56","revisionof":"S2-2501139","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502132.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502133","title":"KI#2 update to VFL preparation procedure","source":"InterDigital, [Nokia], [Ericsson], [Futurewei], [LGE]","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of VFL preparation procedures. Trusted AF as server case is added to NWDAF as server clause Remove EN about interactions between AFs","secretary_remarks":"Revision of (Agreed) S2-2501347. Confirm CR Revision - CR states 2! Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20480,"status":"not treated","reservation_date":"2025-02-10 17:39:21","uploaded":"2025-02-10 19:10:56","revisionof":"S2-2501347","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1371.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502133.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502141","title":"KI#2 - update to VFL inference procedure","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of inference procedures.","secretary_remarks":"Revision of (Postponed) S2-2501039. Revised in parallel session to S2-2502264.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20060,"status":"revised","reservation_date":"2025-02-10 17:52:38","uploaded":"2025-02-10 19:10:56","revisionof":"S2-2501039","revisedto":"S2-2502264","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1367.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502141.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502142","title":"Resolving ENs for VFL","source":"[Ericsson], [Lenovo], InterDigital, [OPPO], [Nokia]","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of (Endorsed) S2-2501134. Confirm CR Revision - CR states 2! Postponed in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19570,"status":"postponed","reservation_date":"2025-02-10 18:00:37","uploaded":"2025-02-10 19:10:56","revisionof":"S2-2501134","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":7.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502142.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502174","title":"User consent for model training","source":"Ericsson, AT&T","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR proposes option 1 (if option 2 is preferred this CR needs to include second change only) Clarify that user consent provided for training of a ML Model includes the maintenance of the ML Model. Remove references to consumer of user consent not to overload the subscription data in UDM.","secretary_remarks":"Revision of S2-2501480 Not Handled","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20370,"status":"not treated","reservation_date":"2025-02-10 22:25:13","uploaded":"2025-02-10 22:27:16","revisionof":"S2-2501480","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5336.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502174.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.3.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502221","title":"Adding new LMF Selection Factor","source":"China Mobile, ZTE, ETRI, Interdigital","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A new factor is added for LMF selection by AMF, which is associated with the AI\/ML capabilities for positioning of LMFs.","secretary_remarks":"Revision of S2-2501700. Revised in parallel session to S2-2502480.<br\/><br\/>Source modified on 25\/02\/2025. Original source : China Mobile, ZTE, ETRI, Interdigital","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19140,"status":"revised","reservation_date":"2025-02-21 06:40:31","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501700","revisedto":"S2-2502480","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":676.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502221.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502222","title":"Clarification on model performance monitoring for LMF-based AIML Positioning","source":"CATT, vivo, Intel","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the input parameters provided by the NWDAF to LMF for data collection. Clarify that for ML model performance monitoring by NWDAF, the NWDAF shall provide the ML model identifier to the LMF, and the LMF sends the location of PRU(s)\/UE(s) estimated using the ML model and the measurement data to the NWDAF. Modify the descriptions on input data, e.g. clarifying the input data includes location measurement data and ground truth data (i.e. locations of PRUs\/UEs) for ML model training and performance monitoring, changing 'data samples' to 'input data'. Clarify the termination of subscription for data collection from the LMF.","secretary_remarks":"Revision of S2-2501824, merging S2-2501855. Revised in parallel session to S2-2502482.<br\/><br\/>Source modified on 25\/02\/2025. Original source : CATT, vivo, Intel","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19230,"status":"revised","reservation_date":"2025-02-21 06:40:31","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501824","revisedto":"S2-2502482","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":658.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502222.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502223","title":"Updates to AI\/ML-based positioning general descriptions","source":"Apple, [CATT]","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"Revision of S2-2501454. Revised in parallel session to S2-2502481 (withdrawn). Postponed in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19270,"status":"revised","reservation_date":"2025-02-21 06:40:32","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501454","revisedto":"S2-2502481","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":5.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502223.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502224","title":"Clarification on LMF requesting ML model for LMF-based AI\/ML Positioning from the NWDAF containing MTLF","source":"CATT, ZTE, Intel, Huawei","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update the ML model requesting procedure in clause 6.22.5 to align with clause 5.18, and also modify description of step 6. Clarify that LMF may retrieve ML Model from ADRF. Editorial modifications.","secretary_remarks":"Revision of S2-2501640. Revised in parallel session to S2-2502483.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19300,"status":"revised","reservation_date":"2025-02-21 06:40:33","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501640","revisedto":"S2-2502483","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":657.0,"crrevision":4.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502224.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502225","title":"Modifications on ML Model retrieval service","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF may retrieve ML Model from ADRF. Rev 02 adds some references and additional supplementary changes in clause 6.2B.7 to make the ML Model retrieval procedure more comprehensive. The additional changes on rev 02 are highlighted in green.","secretary_remarks":"Revision of S2-2501648. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19330,"status":"agreed","reservation_date":"2025-02-21 06:40:34","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501648","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1302.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502225.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2A.1, 6.2B.7, 10.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502226","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"Ericsson, AT&T","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent. Changes compared with rev.1 (if option 2 is preferred this CR needs to include third change only) A NOTE is to explain that user consent is obatained when the LMF starts training the model and then the LMF uses the user consent during the maintenance of the ML Model. A NOTE is added to indicate that when the user consent is revoked the LMF may take actions towards the trained model that are internal and out of the scope of 3GPP. The Editor s Note related to user consent checking with SA WG3 is removed as it appears in other clauses and is not anylonger related to the questions that motivated to send an LS to SA WG3.","secretary_remarks":"Revision of S2-2501481. Revised in parallel session to S2-2502485.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19380,"status":"revised","reservation_date":"2025-02-21 06:40:35","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501481","revisedto":"S2-2502485","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502226.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502227","title":"KI#1 - Further clarification on ML Model performance monitoring for AI\/ML positioning","source":"Lenovo, CATT","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF indicates to the NWDAF the ML model to monitor by including the ML model identifier. NWDAF collects the following input data from LMF: - Ground truth information from PRU(s)\/UE(s) by using the procedure of input data collection by NWDAF as specified in clause 6.22.4 of TS 22.273 [39]. - The inference output (location estimation using Direct AI\/ML positioning) of the PRU and\/or UE providing the ground truth data. - optionally, location measurement data for the PRU(s)\/UE(s). .","secretary_remarks":"Revision of S2-2501943. Revised in parallel session to S2-2502486.<br\/><br\/>Source modified on 25\/02\/2025. Original source : Lenovo, CATT","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19410,"status":"revised","reservation_date":"2025-02-21 06:40:35","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501943","revisedto":"S2-2502486","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1364.0,"crrevision":2.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502227.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502228","title":"KI#2 update to VFL preparation procedure","source":"[InterDigital, Nokia, Ericsson, Futurewei, LGE], Huawei, HiSilicon, ZTE, OPPO","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of VFL preparation procedures. Trusted AF as server case is added to NWDAF as server clause Remove EN about interactions between AFs","secretary_remarks":"Revision of S2-2502034. Revised in parallel session to S2-2502488.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19470,"status":"revised","reservation_date":"2025-02-21 06:40:36","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2502034","revisedto":"S2-2502488","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1371.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502228.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502229","title":"KI#2: VFL services","source":"[Nokia, Ericsson], LG Electronics, OPPO?","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL Rev. 110 Feature ID is included as optional input parameter for Nnwdaf_VFLTraining_Subscribe, Naf_VFLTraining_Subscribe, and Nnef_VFLTraining_Subscribe service operations, and remove related ENs Feature ID is included as optional output parameter for Nnwdaf_VFLTraining_Request, Nnef_VFLTraining_Request, and Naf_VFLTraining_Request service operation, and remove related EN. VFL Correlation ID is included as optional input parameter for Nnwdaf_VFLInference_Subscribe service operation, and remove related EN","secretary_remarks":"Revision of S2-2501782, merging S2-2501647. Revised in parallel session to S2-2502669.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19670,"status":"revised","reservation_date":"2025-02-21 06:40:37","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501782","revisedto":"S2-2502669","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":11.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502229.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502230","title":"Adding VFL related services supported by NEF and AF","source":"Vivo, [Nokia, KDDI]","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the VFL related service operations. Add the VFL capability registered by AF.","secretary_remarks":"Revision of S2-2501676. Revised in parallel session to S2-2502492.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19700,"status":"revised","reservation_date":"2025-02-21 06:40:38","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501676","revisedto":"S2-2502492","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5266.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502230.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502231","title":"QFI Change event","source":"NTT DOCOMO, CATT, Nokia, Samsung, ETRI","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Updating the content of the QFI allocation event to include the QoS parameters. - Introduce new 'QoS Flow Binding Change' event which is sent when traffic flow is bounded to existing QoS Flow or the QoS parameters of the QoS Flow modified. - Introduce a new 'QFI deallocation' event which is sent when the QoS Flow is released","secretary_remarks":"Revision of S2-2501994. Revised in parallel session to S2-2502493.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19730,"status":"revised","reservation_date":"2025-02-21 06:40:38","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501994","revisedto":"S2-2502493","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5237.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502231.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502232","title":"KI#4: Minor Clarifications and Corrections","source":"ETRI","contact":"JongGwan An","contact-id":102599,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Changed 'Signaling' to 'Signalling' for consistency. Fixed a typo ('messges' to 'messages') in Table 6.22.3-3. Replaced 'subgroup of input data' to 'subset of input data' to make it clearer.","secretary_remarks":"Revision of S2-2501829. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19800,"status":"agreed","reservation_date":"2025-02-21 06:40:39","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501829","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1391.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502232.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502233","title":"Updates to AI\/ML-based positioning general descriptions","source":"Apple, CATT, Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"Revision of S2-2501639. Revised in parallel session to S2-2502495.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19830,"status":"revised","reservation_date":"2025-02-21 06:40:40","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501639","revisedto":"S2-2502495","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":6.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502233.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502234","title":"Clarification on data collection by LMF from NG-RAN for LMF-based AIML Positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the description on LMF requesting input data from other PRU serving LMFs. Clarifications on AMF discovery, user consent check for PRUs and ground truth data. Further clarifications on how the input data is used for model training and model performance monitoring. Editorial modifications, e.g. changing 'AI\/ML model' to 'ML model'.","secretary_remarks":"Revision of S2-2501823. Revised in parallel session to S2-2502496.<br\/><br\/>Source modified on 25\/02\/2025. Original source : CATT","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19870,"status":"revised","reservation_date":"2025-02-21 06:40:41","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501823","revisedto":"S2-2502496","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":682.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502234.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502235","title":"Clarification on LMF as service consumer for ML Model Training","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the LMF can be the service consumer of Nnwdaf_MLModelTraining and Nnwdaf_MLModelTrainingInfo service operation.","secretary_remarks":"Revision of S2-2501702. Revised in parallel session to S2-2502516.<br\/><br\/>Source modified on 25\/02\/2025. Original source : China Mobile","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19940,"status":"revised","reservation_date":"2025-02-21 06:40:41","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501702","revisedto":"S2-2502516","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1388.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502235.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1, 7.10.1, 7.11.1;","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502250","title":"Resolving ENs for VFL","source":"Ericsson, OPPO, [Lenovo, InterDigital, Nokia, KDDI]","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of S2-2501484. Revised in parallel session to S2-2502251","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19510,"status":"revised","reservation_date":"2025-02-21 06:40:57","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501484","revisedto":"S2-2502251","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":8.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502250.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502251","title":"Resolving ENs for VFL","source":"Ericsson, Lenovo, InterDigital, OPPO, Nokia, KDDI, Vivo, Samsung","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of S2-2502250, merging S2-2502142. Revised in parallel session to S2-2502490.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19520,"status":"revised","reservation_date":"2025-02-21 06:40:57","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2502250","revisedto":"S2-2502490","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":9.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502251.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502252","title":"Updates to VFL Training - no new training triggers","source":"[Ericsson, Lenovo, InterDigital, OPPO], Nokia","contact":"Thomas Belling","contact-id":68266,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so follwing EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Possibility to change samples is introduced in the procedures, so follwing EN is resolved Editor's Note: Whether and how change of samples during a VFL training is supported is FFS. Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are based on considerations in S2-2501477,. This, solving solvies the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The follwing EN is r","secretary_remarks":"Revision of S2-2501479. Withdrawn","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19590,"status":"withdrawn","reservation_date":"2025-02-21 06:40:58","uploaded":null,"revisionof":"S2-2501479","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":10.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502253","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"OPPO, ZTE, [Nokia, Ericsson, Samsung]","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Add the description on how to trigger the VFL inference procedure. The VFL training procedure can also be triggerd based on the analytics request from the consumer before the VFL server initiate the VFL inference. Add additional parameters exchange between the VFL server and VFL client and between the consumer NF and the VFL server. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying. Editor's note: Parameters in the triggering of inference and Analytics is FFS. Editor's note: It is FFS whether additional parameters are needed to send from the VFL server to VFL client, e.g. parameters used in training phase and parameters from Analytics request. Editor's note: It is FFS additional parameters are needed to send from the VFL client to VFL server Add Analytics accuracy monitoring in VFL inference. Improve some wording on description.","secretary_remarks":"Revision of S2-2501646, merging S2-2502019 and S2-2501488. Revised in parallel session to S2-2502491.<br\/><br\/>Source modified on 25\/02\/2025. Original source : OPPO, ZTE, [Nokia, Ericsson, Samsung]","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19610,"status":"revised","reservation_date":"2025-02-21 06:40:59","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501646","revisedto":"S2-2502491","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":7.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502253.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502254","title":"UE LCS privacy check for ground truth data collection","source":"Qualcomm Incorporated","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF need to perform UE LCS privacy check before the ground truth data collection from UE.","secretary_remarks":"Revision of S2-2501835, merging S2-2502008. Withdrawn","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19170,"status":"withdrawn","reservation_date":"2025-02-21 06:41:00","uploaded":null,"revisionof":"S2-2501835","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":684.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502255","title":"Updates to AI\/ML-based positioning procedures","source":"Apple, [vivo], Interdigital","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR proposes updates to AI\/ML-based positioning procedures","secretary_remarks":"Revision of S2-2501455. Revised in parallel session to S2-2502479.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19190,"status":"revised","reservation_date":"2025-02-21 06:41:01","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501455","revisedto":"S2-2502479","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":5.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502255.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502256","title":"User consent check during performance monitoring","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add clarification on the case where user consent is not given during the procedure for MTLF-based AI\/ML model performance monitoring for LMF-based AI\/ML Positioning.","secretary_remarks":"Revision of S2-2501894. Revised in parallel session to S2-2502484.<br\/><br\/>Source modified on 25\/02\/2025. Original source : Samsung","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19350,"status":"revised","reservation_date":"2025-02-21 06:41:01","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501894","revisedto":"S2-2502484","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":688.0,"crrevision":1.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502256.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502257","title":"UE LCS privacy check for ground truth data collection","source":"Qualcomm Incorporated, Apple, xiaomi","contact":"Juan Zhang","contact-id":73274,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that LMF need to perform UE LCS privacy check before the ground truth data collection from UE.","secretary_remarks":"Revision of S2-2501836. Postponed in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19970,"status":"postponed","reservation_date":"2025-02-21 06:41:02","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501836","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1392.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502257.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502258","title":"EN removal for clarification of VFL high level description","source":"KDDI, LG Electronics, Huawei, ETRI, Samsung, China mobile","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: For avoide missunderstanding, clarify the VFL scenario when AF is VFL server, 'When AF is acting as VFL Server, NWDAF(s) is VFL Client(s).' Intending to clarify that this release exclude the scenario that AF is server, other AF(s) is client. Remove the ENs in clause 5.4 to correctlly implement the change of S2-2412734, which was agreed. Remove the EN, because there is no need to add major functionality in this release. Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added. Remove the EN because whether to support changes in the sample is to be discussed in 6.2H. Editor's note: Whether and how change of samples during a VFL training is supported is FFS. Added description for VFL client functionality for using the intermiediate training information received from the VFL server. Clarify the wording 'intermediate traning result' from the VFL client to VLF server and 'intermediate model training information' from VFL server to VFL client.","secretary_remarks":"Revision of S2-2501449, merging S2-2501701. Revised in parallel session to S2-2502519.<br\/><br\/>Source modified on 25\/02\/2025. Original source : KDDI, LG Electronics, Huawei, ETRI, Samsung, China mobile","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20600,"status":"revised","reservation_date":"2025-02-21 06:41:03","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501449","revisedto":"S2-2502519","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1329.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502258.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502259","title":"Editorial improvement on QoS and policy assistance analytics","source":"[Ericsson, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon] Verizon, ETRI, Samsung","contact":"Peretz Feder","contact-id":94345,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Rev1: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Replace GFBR and MFBR for a QoS flow by GBR and MBR for a service data flow that is what the PCF can provide for a service data flow. Rev6: Remove EN regarding the other filter information. Editorial updates and clarifications on QoS and policy assistance analytics. Editorial changes of the call flow diagram in clause 6.23.4.","secretary_remarks":"Revision of S2-2501709, merging S2-2501880. Revised in parallel session to S2-2502494.<br\/><br\/>Source modified on 25\/02\/2025. Original source : [Ericsson, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon] Verizon, ETRI, Samsung","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19760,"status":"revised","reservation_date":"2025-02-21 06:41:04","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501709","revisedto":"S2-2502494","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":6.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502259.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502260","title":"update UDM to support user consent of data collection for performance monitoring","source":"Xiaomi","contact":"Tingfang Tang","contact-id":100554,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: To extend user consent also for TS 23.273 in UDM To add 'model performance monitoring' as purpose in the table. rev#1 the LMF needs to be added as consumer for the related UDM service for user consent retrieval the description for user consent in Table 5.2.3.3.1-1 is updated with a note to clarify the reference to the related procedure requiring user consent retrival","secretary_remarks":"Revision of S2-2502007. Revised in parallel session to S2-2502487.<br\/><br\/>Title modified on 25\/02\/2025. Original title : Update UDM to support user consent of data collection for performance monitoring<br\/><br\/>Source modified on 25\/02\/2025. Original source : Xiaomi","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19440,"status":"revised","reservation_date":"2025-02-21 06:41:05","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2502007","revisedto":"S2-2502487","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5316.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502260.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.3.1, 5.2.3.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502261","title":"Clarifications on intermediate training result and intermediate model training information","source":"ZTE","contact":"Yuang Feng","contact-id":102777,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify the content inside gradient information and loss information, adding two notes saying that they are up to implementation.","secretary_remarks":"Revision of S2-2501440. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19990,"status":"agreed","reservation_date":"2025-02-21 06:41:05","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501440","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1377.0,"crrevision":1.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502261.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502262","title":"Sample update during VFL training","source":"Apple, Ericsson, Samsung, ETRI, Futurewei, ZTE","contact":"Sudeep M Vamanan","contact-id":103491,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Removed EN from clause 5.4. In clause 6.2H.2.3.1: Step 2: added that checkpoint information from VFL server to client may be provided as described in 6.2H.3 Step 4: added that VFL client may indicate loss of samples to VFL server as described in 6.2H.3. VFL server indicates that training may resume from a previous checkpoint. In clause 6.2H.3, added the checkpoint information from VFL server to client indicates whether VFL clients are required to store the state of models the details of indicating lost samples during a training iteration.","secretary_remarks":"Revision of S2-2501573. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20010,"status":"agreed","reservation_date":"2025-02-21 06:41:06","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501573","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1342.0,"crrevision":2.0,"crcategory":"C","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502262.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502263","title":"Enhancements for the accuracy monitoring of VFL training","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL Server should indicate the sample IDs for training and the sample IDs for validation to the VFL clients. Remove some ENs in clause 6.2H.2.3.1.","secretary_remarks":"Revision of S2-2501675. Revised in parallel session to S2-2502517.<br\/><br\/>Source modified on 25\/02\/2025. Original source : vivo","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20030,"status":"revised","reservation_date":"2025-02-21 06:41:07","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501675","revisedto":"S2-2502517","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1355.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502263.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502264","title":"KI#2 update to VFL inference procedure","source":"InterDigital","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of inference procedures.","secretary_remarks":"Revision of S2-2502141. Revised in parallel session to S2-2502670.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20070,"status":"revised","reservation_date":"2025-02-21 06:41:07","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2502141","revisedto":"S2-2502670","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1367.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502264.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502265","title":"Support of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung, Lenovo, OPPO, ZTE [Nokia, Apple,]","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce new steps to support VFL model training and inference with VFL client information sharing on top of the agreed procedures. Remove ENs relevant to VFL client information sharing.","secretary_remarks":"Revision of S2-2501451. Revised in parallel session to S2-2502518.<br\/><br\/>Source modified on 25\/02\/2025. Original source : Samsung, Lenovo, OPPO, ZTE [Nokia, Apple,]","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20110,"status":"revised","reservation_date":"2025-02-21 06:41:08","uploaded":"2025-02-25 15:11:05","revisionof":"S2-2501451","revisedto":"S2-2502518","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1327.0,"crrevision":2.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502265.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1, 6.2H.2.3.2, 6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502478","title":"KI#1 - Further clarification on input data for ML model training for AI\/ML positioning","source":"Lenovo, Intel","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF may store data related to PRU UEs as historical data at ADRF. NWDAF may use historical data for further training and\/or performance monitoring of ML models used for AI\/ML positioning. It is also clarified that the LMF may indicate whether data correspond to a PRU UE or a user UE. .","secretary_remarks":"Revision of S2-2501955. Revised in parallel session to S2-2502497.<br\/><br\/>Source modified on 25\/02\/2025. Original source : Lenovo, Intel","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19910,"status":"revised","reservation_date":"2025-02-21 06:45:42","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2501955","revisedto":"S2-2502497","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":654.0,"crrevision":2.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502478.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502479","title":"Updates to AI\/ML-based positioning procedures","source":"Apple, vivo, Interdigital","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR proposes updates to AI\/ML-based positioning procedures","secretary_remarks":"Revision of S2-2502255. Agreed in parallel session. Revised to S2-2502784.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19200,"status":"revised","reservation_date":"2025-02-21 06:45:43","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502255","revisedto":"S2-2502784","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":6.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502479.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502480","title":"Adding new LMF Selection Factor","source":"China Mobile, ZTE, ETRI, Interdigital","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: A new factor is added for LMF selection by AMF, which is associated with the AI\/ML capabilities for positioning of LMFs.","secretary_remarks":"Revision of S2-2502221. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19150,"status":"agreed","reservation_date":"2025-02-21 06:45:43","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502221","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":676.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502480.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502481","title":"Updates to AI\/ML-based positioning general descriptions","source":"Apple, [CATT]","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"Revision of S2-2502223. Withdrawn","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19280,"status":"withdrawn","reservation_date":"2025-02-21 06:45:44","uploaded":null,"revisionof":"S2-2502223","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":7.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502482","title":"Clarification on model performance monitoring for LMF-based AIML Positioning","source":"CATT, vivo, Intel","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the input parameters provided by the NWDAF to LMF for data collection. Clarify that for ML model performance monitoring by NWDAF, the NWDAF shall provide the ML model identifier to the LMF, and the LMF sends the location of PRU(s)\/UE(s) estimated using the ML model and the measurement data to the NWDAF. Modify the descriptions on input data, e.g. clarifying the input data includes location measurement data and ground truth data (i.e. locations of PRUs\/UEs) for ML model training and performance monitoring, changing 'data samples' to 'input data'. Clarify the termination of subscription for data collection from the LMF.","secretary_remarks":"Revision of S2-2502222. Revised in parallel session to S2-2502528.<br\/><br\/>Source modified on 25\/02\/2025. Original source : CATT, vivo, Intel","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19240,"status":"revised","reservation_date":"2025-02-21 06:45:45","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502222","revisedto":"S2-2502528","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":658.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502482.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502483","title":"Clarification on LMF requesting ML model for LMF-based AI\/ML Positioning from the NWDAF containing MTLF","source":"CATT, ZTE, Intel, Huawei","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Update the ML model requesting procedure in clause 6.22.5 to align with clause 5.18, and also modify description of step 6. Clarify that LMF may retrieve ML Model from ADRF. Editorial modifications.","secretary_remarks":"Revision of S2-2502224. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19310,"status":"agreed","reservation_date":"2025-02-21 06:45:46","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502224","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":657.0,"crrevision":5.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502483.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.5","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502484","title":"User consent check during performance monitoring","source":"Samsung","contact":"Hyesung Kim","contact-id":83054,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add clarification on the case where user consent is not given during the procedure for MTLF-based AI\/ML model performance monitoring for LMF-based AI\/ML Positioning.","secretary_remarks":"Revision of S2-2502256. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19360,"status":"agreed","reservation_date":"2025-02-21 06:45:46","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502256","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":688.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502484.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502485","title":"Procedures to collect data from the UE and from NG-RAN, resolution of Editor s Note.","source":"Ericsson, AT&T","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Updates to the clause to collect data from NG-RAN to cover updates on user consent. Changes compared with rev.1 (if option 2 is preferred this CR needs to include third change only) A NOTE is to explain that user consent is obatained when the LMF starts training the model and then the LMF uses the user consent during the maintenance of the ML Model. A NOTE is added to indicate that when the user consent is revoked the LMF may take actions towards the trained model that are internal and out of the scope of 3GPP. The Editor s Note related to user consent checking with SA WG3 is removed as it appears in other clauses and is not anylonger related to the questions that motivated to send an LS to SA WG3.","secretary_remarks":"Revision of S2-2502226. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19390,"status":"agreed","reservation_date":"2025-02-21 06:45:47","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502226","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":669.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502485.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":true,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502486","title":"KI#1 - Further clarification on ML Model performance monitoring for AI\/ML positioning","source":"Lenovo, CATT","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: LMF indicates to the NWDAF the ML model to monitor by including the ML model identifier. Rev3 adds description that: The NWDAF optionally collects location measurement data of PRU\/UEs from LMF The NWDAF optionally collects infererence data (location estimation of the PRU(s)\/UE(s) using LMF-based Direct AI\/ML positioning) from LMF The NWDAF containing MTLF evaluates the ML Model performance by comparing the ground truth data against the corresponding location estimation of the PRU(s)\/UE(s), which is derived by the NWDAF containing MTLF using its local ML model and the location measurement data from the PRU(s)\/UE(s) and\/or the NG-RAN, or derived by the LMF using the ML model and location measurement data from the PRU(s)\/UE(s) and\/or the NG-RAN. .","secretary_remarks":"Revision of S2-2502227. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19420,"status":"agreed","reservation_date":"2025-02-21 06:45:48","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502227","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1364.0,"crrevision":3.0,"crcategory":"C","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502486.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2E.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502487","title":"Update UDM to support user consent of data collection for performance monitoring","source":"Xiaomi","contact":"Tingfang Tang","contact-id":100554,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: The LMF added as consumer for the related UDM service for user consent retrieval","secretary_remarks":"Revision of S2-2502260. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19450,"status":"agreed","reservation_date":"2025-02-21 06:45:49","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502260","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5316.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502487.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502488","title":"KI#2 update to VFL preparation procedure","source":"InterDigital, Nokia, Ericsson, Futurewei, LGE, Huawei, HiSilicon, ZTE, OPPO, Samsung, Lenovo","contact":"Marco Spini","contact-id":8356,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of VFL preparation procedures. Trusted AF as server case is added to NWDAF as server clause Remove EN about interactions between AFs","secretary_remarks":"Revision of S2-2502228. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19480,"status":"agreed","reservation_date":"2025-02-21 06:45:49","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502228","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1371.0,"crrevision":6.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502488.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.2.1, 6.2H.2.2.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502489","title":"Summary of VFL training triggering scenarios","source":"vivo","contact":"vivian chong","contact-id":93021,"tdoctype":"discussion","for":"Information","abstract":"Summary of VFL training triggering scenarios","secretary_remarks":"Created in parallel session. Noted in parallel session","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19490,"status":"noted","reservation_date":"2025-02-21 06:45:50","uploaded":"2025-02-25 15:11:07","revisionof":"","revisedto":"","release":"Rel-19","crspec":"","crspecversion":"","workitem":[{"winame":"AIML_CN"}],"crnumber":"","crrevision":"","crcategory":"","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502489.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502490","title":"Resolving ENs for VFL","source":"Ericsson, Lenovo, InterDigital, OPPO, Nokia, KDDI","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of S2-2502251, merging S2-2501479. Revised in parallel session to S2-2502515.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19530,"status":"revised","reservation_date":"2025-02-21 06:45:50","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502251","revisedto":"S2-2502515","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":11.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502490.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502491","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"OPPO, ZTE, [Nokia, Ericsson, Samsung], China Telecom","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Add the description on how to trigger the VFL inference procedure. The VFL training procedure can also be triggerd based on the analytics request from the consumer before the VFL server initiate the VFL inference. Add additional parameters exchange between the VFL server and VFL client and between the consumer NF and the VFL server. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying. Editor's note: Parameters in the triggering of inference and Analytics is FFS. Editor's note: It is FFS whether additional parameters are needed to send from the VFL server to VFL client, e.g. parameters used in training phase and parameters from Analytics request. Editor's note: It is FFS additional parameters are needed to send from the VFL client to VFL server Add Analytics accuracy monitoring in VFL inference. Improve some wording on description.","secretary_remarks":"Revision of S2-2502253. Revised in parallel session to S2-2502668.<br\/><br\/>Source modified on 25\/02\/2025. Original source : OPPO, ZTE, [Nokia, Ericsson, Samsung], China Telecom","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19620,"status":"revised","reservation_date":"2025-02-21 06:45:51","uploaded":"2025-02-25 15:11:07","revisionof":"S2-2502253","revisedto":"S2-2502668","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":8.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502491.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502492","title":"Adding VFL related services supported by NEF and AF","source":"Vivo, Nokia, KDDI","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the VFL related service operations. Add the VFL capability registered by AF.","secretary_remarks":"Revision of S2-2502230. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19710,"status":"agreed","reservation_date":"2025-02-21 06:45:52","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502230","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5266.0,"crrevision":5.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502492.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":" 5.2.7.2.2, 5.2.7.2.5, 5.2.7.3.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502493","title":"QFI Change event","source":"NTT DOCOMO, CATT, Nokia, Samsung, ETRI","contact":"Bahador Bakhshi","contact-id":98273,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: - Updating the content of the QFI allocation event to include the QoS parameters. - Introduce new 'QoS Flow change' event which is sent when traffic flow is bounded to existing QoS Flow or the QoS parameters of the QoS Flow modified. - Introduce a new 'QFI deallocation' event which is sent when the QoS Flow is released","secretary_remarks":"Revision of S2-2502231. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19740,"status":"agreed","reservation_date":"2025-02-21 06:45:53","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502231","revisedto":"","release":"Rel-19","crspec":"23.502","crspecversion":"19.2.0","workitem":[{"winame":"AIML_CN"}],"crnumber":5237.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502493.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502494","title":"Editorial improvement on QoS and policy assistance analytics","source":"[Ericsson, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon] Verizon, ETRI, Samsung","contact":"Peretz Feder","contact-id":94345,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Rev1: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Replace GFBR and MFBR for a QoS flow by GBR and MBR for a service data flow that is what the PCF can provide for a service data flow. Rev6: Remove EN regarding the other filter information. Editorial updates and clarifications on QoS and policy assistance analytics. Editorial changes of the call flow diagram in clause 6.23.4.","secretary_remarks":"Revision of S2-2502259. Revised in parallel session to S2-2502520.<br\/><br\/>Source modified on 25\/02\/2025. Original source : [Ericsson, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon] Verizon, ETRI, Samsung","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19770,"status":"revised","reservation_date":"2025-02-21 06:45:54","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502259","revisedto":"S2-2502520","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":7.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502494.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502495","title":"Updates to AI\/ML-based positioning general descriptions","source":"Apple, CATT, Intel","contact":"Meghashree D Kedalagudde","contact-id":49483,"tdoctype":"CR","for":"Approval","abstract":"This CR provides Uudates to AI\/ML-based positioning general descriptions","secretary_remarks":"Revision of S2-2502233. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19840,"status":"agreed","reservation_date":"2025-02-21 06:45:55","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502233","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":642.0,"crrevision":8.0,"crcategory":"C","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502495.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.18, 5.18.0 (new), 5.18.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502496","title":"Clarification on data collection by LMF from NG-RAN for LMF-based AIML Positioning","source":"CATT","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Modify the description on LMF requesting input data from other PRU serving LMFs. Clarifications on AMF discovery. Editorial modifications, e.g. changing 'AI\/ML model' to 'ML model'.","secretary_remarks":"Revision of S2-2502234. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19880,"status":"agreed","reservation_date":"2025-02-21 06:45:56","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502234","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":682.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502496.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502497","title":"KI#1 - Further clarification on input data for ML model training for AI\/ML positioning","source":"Lenovo, Intel, Nokia","contact":"Dimitrios Karampatsis","contact-id":70692,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: NWDAF may store data related to PRU UEs as historical data at ADRF. NWDAF may use historical data for further training and\/or performance monitoring of ML models used for AI\/ML positioning.","secretary_remarks":"Revision of S2-2502478. Postponed in parallel session<br\/><br\/>Source modified on 25\/02\/2025. Original source : Lenovo, Intel, Nokia","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19920,"status":"postponed","reservation_date":"2025-02-21 06:45:57","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502478","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":654.0,"crrevision":3.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502497.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502515","title":"Resolving ENs for VFL","source":"Ericsson, Lenovo, InterDigital, OPPO, Nokia, KDDI","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of S2-2502490. Revised in parallel session to S2-2502527.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19540,"status":"revised","reservation_date":"2025-02-21 06:46:12","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502490","revisedto":"S2-2502527","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":12.0,"crcategory":"C","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502515.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502516","title":"Clarification on LMF as service consumer for ML Model Training","source":"China Mobile","contact":"Aihua Li","contact-id":58162,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarification is made that the service consumer of Nnwdaf_MLModelTraining and Nnwdaf_MLModelTrainingInfo service operation are only for Federated Learning.","secretary_remarks":"Revision of S2-2502235. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19950,"status":"agreed","reservation_date":"2025-02-21 06:46:13","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502235","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1388.0,"crrevision":2.0,"crcategory":"F","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502516.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.10.1, 7.11.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502517","title":"Enhancements for the accuracy monitoring of VFL training","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL Server should indicate the sample IDs for accuracy monitoring to the VFL clients. Remove some ENs in clause 6.2H.2.3.1.","secretary_remarks":"Revision of S2-2502263. Revised in parallel session to S2-2502679.<br\/><br\/>Source modified on 25\/02\/2025. Original source : vivo","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20040,"status":"revised","reservation_date":"2025-02-21 06:46:14","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502263","revisedto":"S2-2502679","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1355.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502517.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502518","title":"Support of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung, Lenovo, OPPO, ZTE, Apple, Nokia","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce new steps to support VFL model training and inference with VFL client information sharing on top of the agreed procedures. Remove ENs relevant to VFL client information sharing.","secretary_remarks":"Revision of S2-2502265. Revised in parallel session to S2-2502681.<br\/><br\/>Source modified on 25\/02\/2025. Original source : Samsung, Lenovo, OPPO, ZTE, Apple, Nokia","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20120,"status":"revised","reservation_date":"2025-02-21 06:46:15","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502265","revisedto":"S2-2502681","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1327.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502518.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.2, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502519","title":"EN removal for clarification of VFL high level description","source":"KDDI, LG Electronics, Huawei, ETRI, Samsung, China mobile","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: For avoide missunderstanding, clarify the VFL scenario when AF is VFL server, 'When AF is acting as VFL Server, NWDAF(s) is VFL Client(s).' Intending to clarify that this release exclude the scenario that AF is server, other AF(s) is client. Remove the ENs in clause 5.4 to correctlly implement the change of S2-2412734, which was agreed. Remove the EN, because there is no need to add major functionality in this release. Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added. Remove the EN because whether to support changes in the sample is to be discussed in 6.2H. Editor's note: Whether and how change of samples during a VFL training is supported is FFS. Added description for VFL client functionality for using the intermiediate training information received from the VFL server. Clarify the wording 'intermediate traning result' from the VFL client to VLF server and 'intermediate model training information' from VFL server to VFL client.","secretary_remarks":"Revision of S2-2502258. Revised in parallel session to S2-2502682.","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20610,"status":"revised","reservation_date":"2025-02-21 06:46:16","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502258","revisedto":"S2-2502682","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1329.0,"crrevision":3.0,"crcategory":"F","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502519.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":"","me_affected":"","ran_affected":"","cn_affected":"","clauses_affected":"","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502520","title":"Editorial improvement on QoS and policy assistance analytics","source":"Samsung, Ericsson, Verizon, Oracle, China Mobile, NTT DOCOMO, Huawei, HiSilicon, ETRI","contact":"Peretz Feder","contact-id":94345,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Rev1: Editorial changes and clarification on QoS and policy assistance analytics. Added Priority level to the output table. Replace GFBR and MFBR for a QoS flow by GBR and MBR for a service data flow that is what the PCF can provide for a service data flow. Rev6: Remove EN regarding the other filter information. Editorial updates and clarifications on QoS and policy assistance analytics. Editorial changes of the call flow diagram in clause 6.23.4.","secretary_remarks":"Revision of S2-2502494. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19780,"status":"agreed","reservation_date":"2025-02-21 06:46:16","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502494","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1326.0,"crrevision":8.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502520.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.23.1, 6.23.2, 6.23.3, 6.23.4","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502527","title":"Resolving ENs for VFL","source":"Ericsson, Lenovo, InterDigital, OPPO, Nokia, ZTE, KDDI, Samsung, Vivo, CMCC, China Telecom, Huawei, HiSilicon","contact":"Shabnam Sultana","contact-id":21207,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clause 5.4 In this release no split of a VFL participant is done between training and inference, so following EN is removed, some text is added clarifying this point. Editor's note: For an NWDAF impacts of the split into AnLF and MTLF are FFS. Clause 6.2H.1 Training phase Resolving where to place the trusted AF as server by placing it in the same as NWDAF as server, and by this resolving following ENs Editor's note: This clause needs to be update to include the description of the clauses for NWDAF or AF as the server case. Editor s note: It is FFS, whether to keep the case that trusted AF as VFL server along with the clause of NWDAF as server or with the clause of untrusted AF as server. Editor's note: Whether the case of trusted AF as VFL Server is included in the clause for NWDAF as VFL server or in the clause for untrusted AF as VFL server is FFS. Clause 6.2H.2.3.1 Training phase Follwing ENs are resolved and described in the procedures Editor's Note: It is FFS whether sample\/feature information is required to be provided or updated in each training. by showing in procedure that Feature ID is only sent in first message at start. Delta samples may be sent in any step. Editor's Note: Whether and how to include interoperability information in the VFL training procedure is FFS. by only sending it at start of training Editor's Note: Whether and how to transfer the confirmation in VFL Preparation Phase at the beginning of VFL Training Phase is FFS. by showing no confirmation is needed in the end of the preparation phase Editor's Note: Whether the parameters negotiated in the preparation phase are provided at the end of the preparation phase or at the start of the training is FFS. this above is needed to be able to have the VFL correlation ID coupled to the selected parameters. The triggers for training are done in same way as for HFL, also discussed in the Discussion paper S2-2411640, it can also be internal or a request for inference. This solves the following EN: Editor's Note: Whether and how to define the trigger of VFL training is FFS. Adding same possibility as in HFL for client to leave training and also make it possible for server to skip clients during training, resolving part of the details of the services in the procedure. The EN is changed, since the later part 'and whether VFL Training Start Flag is needed are FFS' is not resolved. The same messages are used for multiple training rounds. This can lead to issues if messages are lost or repeated. For HFL, those issues were resolved via a training round ID. The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. As a training round number initially set to 1 is suggested, an additional flag is not required. Editor's Note: The details of the services in the procedure and whether VFL Training Start Flag is needed are FFS. The follwing EN is removed since the EN in clause 6.2H.3 is the same EN Editor's note: Additional Parameters to be provided in the request are FFS. As stated as main motivation for VFL in the study document 'A more flexible technique: In VFL vendor specific local models and features can be deployed in each participant, so that it is possible that each participant selects or configures the local model to be used, as such vendor or operator specific local models and features, including not standardized features, are simpler to implement comparing with HFL.' The following ENs are removed since in VFL the features are believed to be proprietary and therefore the local model shall not be shared from any entity specified in SA WG2. If anything is needed to be shared between participants, it is e.g. the cut-layer in a NN. Editor's Note: It is FFS whether and how the local ML model is obtained by VFL Client in VFL training process. Editor's Note: Whether VFL server and VFL clients share feature information is FFS. The following EN is removed since the target is to be on par with HFL, and then the metr","secretary_remarks":"Revision of S2-2502515. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19550,"status":"agreed","reservation_date":"2025-02-21 06:46:17","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502515","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1338.0,"crrevision":13.0,"crcategory":"C","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502527.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1, 6.2H.2.3.1, 6.2H.2.3.2, 6.2H.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502528","title":"Clarification on model performance monitoring for LMF-based AIML Positioning","source":"CATT, vivo, Intel, Huawei, HiSilicon, ZTE, China Telecom","contact":"Xiaoyan Duan","contact-id":85499,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the input parameters provided by the NWDAF to LMF for data collection. Clarify that for ML model performance monitoring by NWDAF, the NWDAF shall provide the ML model identifier to the LMF, and the LMF sends the location of PRU(s)\/UE(s) estimated using the ML model and the measurement data to the NWDAF. Modify the descriptions on input data, e.g. clarifying the input data includes location measurement data and ground truth data (i.e. locations of PRUs\/UEs) for ML model training and performance monitoring.","secretary_remarks":"Revision of S2-2502482. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19250,"status":"agreed","reservation_date":"2025-02-21 06:46:17","uploaded":"2025-02-25 15:11:08","revisionof":"S2-2502482","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":658.0,"crrevision":4.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502528.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.4, 8.3.4.2, 8.3.4.3","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502668","title":"Resolve some ENs in the vertical federated learning inference procedure","source":"OPPO, ZTE, Nokia, Ericsson, Samsung, China Telecom, vivo, Huawei, Hisilicon","contact":"Jingran Chen","contact-id":100820,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Add the trusted AF as the VFL server case. Add the description on how to trigger the VFL inference procedure. The VFL training procedure can also be triggered based on the analytics request from the consumer before the VFL server initiate the VFL inference. Add additional parameters exchange between the VFL server and VFL client and between the consumer NF and the VFL server. Remove the following ENs: Editor's note: The service name between the AnLF and untrusted AF as VFL server is FFS. Editor's note: It is FFS how the origin of analytics results can be traced and explained if not all clients participate and results are not satisfying. Editor's note: Parameters in the triggering of inference and Analytics is FFS. Editor's note: It is FFS whether additional parameters are needed to send from the VFL server to VFL client, e.g. parameters used in training phase and parameters from Analytics request. Editor's note: It is FFS additional parameters are needed to send from the VFL client to VFL server Add Analytics accuracy monitoring in VFL inference. Improve some wording on description.","secretary_remarks":"Revision of S2-2502491. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19630,"status":"agreed","reservation_date":"2025-02-21 06:47:25","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502491","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1333.0,"crrevision":9.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502668.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"  6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502669","title":"KI#2: VFL services","source":"Nokia, Ericsson, LG Electronics, OPPO","contact":"Jaewoo Kim","contact-id":92249,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Define new services to support VFL Rev. 12 Feature ID is included as optional input parameter for Nnwdaf_VFLTraining_Subscribe, Naf_VFLTraining_Subscribe, and Nnef_VFLTraining_Subscribe service operations, and remove related ENs Feature ID is included as optional output parameter for Nnwdaf_VFLTraining_Request, Nnef_VFLTraining_Request, and Naf_VFLTraining_Request service operation, and remove related EN. VFL Correlation ID is included as optional input parameter for Nnwdaf_VFLInference_Subscribe service operation, and remove related EN Add Naf_Inference, Naf_Training, Nnef_Inference, Nnef_Training Services.","secretary_remarks":"Revision of S2-2502229. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19680,"status":"agreed","reservation_date":"2025-02-21 06:47:25","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502229","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1236.0,"crrevision":12.0,"crcategory":"B","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502669.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"7.1, new 7.X, new 7.Y, new X, new Y","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502670","title":"KI#2 \u2013 update to VFL inference procedure","source":"InterDigital, Samsung","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of inference procedures.","secretary_remarks":"Revision of S2-2502264. Revised in parallel session to S2-2502680.<br\/><br\/>Title modified on 25\/02\/2025. Original title : KI#2 update to VFL inference procedure<br\/><br\/>Source modified on 25\/02\/2025. Original source : InterDigital, Samsung","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20080,"status":"revised","reservation_date":"2025-02-21 06:47:25","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502264","revisedto":"S2-2502680","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1367.0,"crrevision":3.0,"crcategory":"B","tsg_crp":"","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502670.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502679","title":"Enhancements for the accuracy monitoring of VFL training","source":"vivo","contact":"vivian chong","contact-id":108783,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Clarify that the VFL Server should indicate the sample IDs for accuracy monitoring to the VFL clients. Remove some ENs in clause 6.2H.2.3.1.","secretary_remarks":"Revision of S2-2502517. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20050,"status":"agreed","reservation_date":"2025-02-21 06:47:26","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502517","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1355.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502679.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.1, 6.2H.3.","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502680","title":"KI#2 update to VFL inference procedure","source":"InterDigital, Samsung, Nokia, LG Electronics","contact":"Ulises Olvera","contact-id":72056,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: This CR addresses a number of Editor's Notes related to missing parameters for the correct execution of inference procedures.","secretary_remarks":"Revision of S2-2502670. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20090,"status":"agreed","reservation_date":"2025-02-21 06:47:26","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502670","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1367.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"SP-250042","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502680.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.4.1, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502681","title":"Support of VFL model training and inference with client intermediate results sharing between VFL clients","source":"Samsung, Lenovo, OPPO, ZTE, Apple, Nokia, InterDigital","contact":"Tingyu Xin","contact-id":97405,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: Introduce new steps to support VFL model training and inference with VFL client information sharing on top of the agreed procedures. Remove ENs relevant to VFL client information sharing.","secretary_remarks":"Revision of S2-2502518. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20130,"status":"agreed","reservation_date":"2025-02-21 06:47:26","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502518","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1327.0,"crrevision":4.0,"crcategory":"B","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502681.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.2H.2.3.2, 6.2H.2.4.2","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502682","title":"EN removal for clarification of VFL high level description","source":"KDDI, LG Electronics, Huawei, ETRI, Samsung, China mobile, ZTE","contact":"Sohei Itahara","contact-id":101258,"tdoctype":"CR","for":"Approval","abstract":"Summary of change: For avoide missunderstanding, clarify the VFL scenario when AF is VFL server, 'When AF is acting as VFL Server, NWDAF(s) is VFL Client(s).' Intending to clarify that this release exclude the scenario that AF is server, other AF(s) is client. Remove the ENs in clause 5.4 to correctlly implement the change of S2-2412734, which was agreed. Remove the EN, because there is no need to add major functionality in this release. Editor's note: If additional functionality is specified in clause 6.2H, the reference to the corresponding clause will be added. Remove the EN because whether to support changes in the sample is to be discussed in 6.2H. Editor's note: Whether and how change of samples during a VFL training is supported is FFS. Added description for VFL client functionality for using the intermiediate training information received from the VFL server. Clarify the wording 'intermediate traning result' from the VFL client to VLF server and 'intermediate model training information' from VFL server to VFL client.","secretary_remarks":"Revision of S2-2502519. Agreed in parallel session. Block approved","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":20620,"status":"agreed","reservation_date":"2025-02-21 06:47:26","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502519","revisedto":"","release":"Rel-19","crspec":"23.288","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":1329.0,"crrevision":4.0,"crcategory":"F","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502682.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"5.4, 6.2H.1","crsinpack":null,"crsinpacknumber":0},
{"name":"S2-2502784","title":"Updates to AI\/ML-based positioning procedures","source":"Apple, vivo, Interdigital","contact":"David Gutierrez Estevez","contact-id":108111,"tdoctype":"CR","for":"Approval","abstract":"This CR proposes updates to AI\/ML-based positioning procedures","secretary_remarks":"Revision of S2-2502479. This CR was agreed","agenda_item_sort_order":141,"ainumber":"19.15.2","ainame":"Core Network Enhanced Support for Artificial Intelligence (AI)\/Machine Learning (ML) (AIML_CN)","tdoc_agenda_sort_order":19210,"status":"agreed","reservation_date":"2025-02-25 11:12:06","uploaded":"2025-02-25 15:11:09","revisionof":"S2-2502479","revisedto":"","release":"Rel-19","crspec":"23.273","crspecversion":"19.1.0","workitem":[{"winame":"AIML_CN"}],"crnumber":643.0,"crrevision":7.0,"crcategory":"C","tsg_crp":"SP-250041","lsreplyto":"","lsto":"","Cc":"","lsoriginalls":"","lsreply":"","link":"https:\/\/www.3gpp.org\/ftp\/tsg_sa\/WG2_Arch\/TSGS2_167_Athens_2025-02\/Docs\/S2-2502784.zip","group":"S2","meeting":"S2-167","year":2025,"uicc_affected":false,"me_affected":false,"ran_affected":false,"cn_affected":true,"clauses_affected":"6.22.2","crsinpack":null,"crsinpacknumber":0}]