Please enter the search related information in the fields below. Partial information works, e.g. "SP-21" in the "tdoc" field lists all TSG SA documents from 2021. Regular expressions mostly work in all fields (e.g. "2[34].501" in the "Spec" field lists all documents related to 23.501 and 24.501. Capitalization is disregarded, i.e. "3GPP" gives the same results as "3gpp".
Download results in JSON format
| tdoc | Title | Type / Revs | Source | Spec / CR | S/WID | Release | Meeting | Status | Links |
|---|---|---|---|---|---|---|---|---|---|
| S5-250079 | CR TS 28.105 ML-Knowledge-based Transfer Learning | CR | Nokia | 28.105 19.1.0 CR#224 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-250080 | CR TS 28.105 Enhance AIML inference emulation | CR | Nokia | 28.105 19.1.0 CR#225 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250081 | CR TS 28.105 AIML inference emulation environment selection | CR | Nokia | 28.105 19.1.0 CR#226 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250082 | CR TS 28.105 Coordination AIML inference capabilities | CR | Nokia | 28.105 19.1.0 CR#227 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
withdrawn | [WTS] [JSN] |
| S5-250173 | Rel-19 CR TS 28.105 Enhancement on AIMLInferenceFunction NRM | CR | ZTE Corporation, Nokia | 28.105 19.1.0 CR#230 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250174 | Rel-19 CR TS 28.105 Clarify the relation between ML model delivery in RAN and ML model loading in SA5 | CR | ZTE Corporation | 28.105 19.1.0 CR#231 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250175 | Input to DraftCR Rel-19 TS 28.105 Add New Use Case and Requirements of Sustainable AIML for AIML Inference | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not treated | [WTS] [JSN] | |
| S5-250176 | Input to DraftCR Rel-19 TS 28.105 Add New Use Case and Requirements of Sustainable AIML for ML training |
other revised to S5-250937 |
ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250177 | Input to DraftCR Rel-19 TS 28.105 Add New Use Case and Requirements of Management of Federated Learning | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250178 | Input to DraftCR Rel-19 TS 28.105 Add Solution of Management of Federated Learning | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250179 | Input to DraftCR Rel-19 TS 28.105 Add New Use Case and Requirements of Management of Reinforcement Learning | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250180 | Input to DraftCR Rel-19 TS 28.105 Add Solution of Management of Reinforcement Learning | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-250188 | Input to DraftCR Rel19 TS28.105 New use case on Management of Federated Learning | other | China Mobile | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250189 | Input to DraftCR Rel19 TS28.105 New use case on ML inference emulation environment selection |
other revised to S5-250942 |
China Mobile | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250190 | Input to DraftCR Rel19 TS28.105 Training Data Effectiveness clarification | other | China Mobile, Nokia, Nokia Shanghai Bell, Ericsson | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250266 | Rel-19 CR TS 28.105 Add Pre-training Usecase | CR | Ericsson-LG Co., LTD | 28.105 19.1.0 CR#234 catB | AIML_MT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250267 | Rel-19 CR TS 28.105 Add Pre-training Solution | CR | Ericsson-LG Co., LTD | 28.105 19.1.0 CR#235 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-250303 | Input to draft CR TS 28.105 add use cases and requirements for ML pre-training | other | NEC, Intel | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250304 | Input to draft CR TS 28.105 add use cases and requirements for ML fine-tuning | other | NEC, Intel | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250306 | Input to draft CR TS 28.105 add NRM for ML pre-training and fine-tuning | other | NEC, Intel | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250308 | Work plan & guidelines AIML Management – Phase 2 |
Work Plan revised to S5-250800 |
NEC, Intel | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | ||
| S5-250321 | Input to draftCR TS 28.105 Add use cases and requirements on LCM for Federated Learning | other | Intel, NEC | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | ||
| S5-250322 | Input to draftCR TS 28.105 Add NRMs on LCM for Federated Learning |
other revised to S5-250804 |
Intel, NEC | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | ||
| S5-250323 | Input to draftCR TS 28.105 Add use cases and requirements on LCM for Reinforcement Learning |
other revised to S5-250805 |
Intel, NEC | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | ||
| S5-250382 | Rel-19 CR TS 28.105 Add Usecase and Requirements for ML model distributed training | CR | CATT | 28.105 19.1.0 CR#236 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250438 | Input to DraftCR 28.105 add solution to support ML incremental pre-training and ML fine-tuning | other | China Mobile, ZTE | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250440 | Input to DraftCR 28.105 Add new use case and requirements of ML Incremental Pre-training and ML Fine-tuning | other | China Mobile, ZTE | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250443 | Input to DraftCR 28.105 Add new symbols and abbreviations | other | China Mobile, ZTE | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-250452 | Rel-19 CR 28.105 Distributed Learning UC and Requirements | CR | Samsung R&D Institute India | 28.105 19.1.0 CR#237 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250454 | Rel-19 CR 28.105 Reinforcement Learning UC and Requirements | CR | Samsung R&D Institute India | 28.105 19.1.0 CR#238 catC | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250455 | Rel-19 CR 28.105 CR Reinforcement Learning UC and Requirements | CR | Samsung R&D Institute India | 28.105 19.1.0 CR#239 catC | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250466 | Rel-19 CR TS 28.105 add overview of management of AI/ML capabilities for RAN 5GC and MDA |
CR revised to S5-251066 |
Huawei | 28.105 19.1.0 CR#244 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-250467 | Rel-19 CR TS 28.105 enhance OpenAPI specification description |
CR revised to S5-251067 |
Huawei | 28.105 19.1.0 CR#245 catC | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-250468 | Rel-19 CR TS 28.105 Add use case, requirements and solutions of training conflict management for reinforcement learning | CR | Huawei | 28.105 19.1.0 CR#246 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250469 | Rel-19 CR TS 28.105 Add use case, requirements and solutions for exploration in reinforcement learning | CR | Huawei | 28.105 19.1.0 CR#247 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250470 | Rel-19 CR TS 28.105 update the requirement and solution to enhance the ML model loading use case |
CR revised to S5-251065 |
Huawei | 28.105 19.1.0 CR#248 catC | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] |
| S5-250471 | Discussion on the transfer of data over UP for option 3 |
discussion revised to S5-251078 |
Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250586 | Rel-19 CR TS28.105 Add Management of Federated Learning Usecase | CR | Ericsson-LG Co., LTD | 28.105 19.1.0 CR#255 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250587 | Rel-19 CR TS 28.105 Add management of Distributed Training use case | CR | Ericsson-LG Co., LTD | 28.105 19.1.0 CR#256 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250590 | Rel-19 CR TS 28.105 Add Fine-Tuning Usecase | CR | Ericsson-LG Co., LTD | 28.105 19.1.0 CR#257 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250640 | Input to draftCR Rel-19 TS 28.105 Use case on model confidence requirement |
other revised to S5-250938 |
Nokia | AIML_MGT_Ph2 | Rel-20 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250641 | Input to draftCR Rel-19 TS 28.105 Solution on model confidence requirement |
other revised to S5-250939 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250642 | Input to draftCR Rel-19 TS 28.105 Use case on training data statistics |
other revised to S5-251063 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250643 | Input to draftCR Rel-19 TS 28.105 Solution on training data statistics |
other revised to S5-251064 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250648 | Rel-19 CR TS 28.105 Add authentication use case | CR | Ericsson AB | 28.105 19.1.0 CR#260 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250649 | Rel-19 CR TS 28.105 Use Case and Requirements for Management of Federated Learning | CR | Samsung Electronics France SA | 28.105 19.1.0 CR#261 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250650 | Input to draftCR Rel-19 TS 28.105 Use case on reinforcement learning | other | Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250651 | Rel-19 CR TS 28.105 Use Case and Requirements for ML model training for multiple contexts | CR | Samsung Electronics France SA | 28.105 19.1.0 CR#262 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-250653 | Input to draftCR Rel-19 TS 28.105 Solution on reinforcement learning | other | Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250655 | Rel-19 CR TS 28.105 Add use case for Management of Reinforcement Learning | CR | Ericsson AB | 28.105 19.1.0 CR#263 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] |
| S5-250657 | Input to draftCR Rel-19 TS 28.105 Use case on sustainable AIML training | other | Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250659 | Input to draftCR Rel-19 TS 28.105 ML model training for multiple contexts | other | Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
merged | [WTS] [JSN] | |
| S5-250662 | Input to draftCR Rel-19 TS 28.105 Use case on federated learning |
other revised to S5-250803 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250664 | Input to draftCR Rel-19 TS 28.105 Solution on sustainable AIML training | other | Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-250780 | DraftCR Rel-19 TS 28.105 | draftCR | NECIntel Corporation (UK) Ltd | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250800 | Work plan & guidelines AIML Management – Phase 2 |
Work Plan revision of S5-250308 |
NEC, Intel | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | ||
| S5-250801 | Rel-19 Input to DraftCR TS 28.105 Add Pre-training Usecase | other | Ericsson-LG Co., LTD | AIML_MT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250802 | Rel-19 input to DraftCR TS 28.105 Add Pre-training Solution | other | Ericsson-LG Co., LTD | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-250803 | Input to draftCR Rel-19 TS 28.105 Use case on federated learning |
other revision of S5-250662 |
Nokia, Intel, NEC, ZTE, Ericsson, Samsung, China Mobile, Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250804 | Input to draftCR TS 28.105 Add NRMs on LCM for Federated Learning |
other revision of S5-250322 |
Intel, NEC, ZTE, Samsung | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | ||
| S5-250805 | Input to draftCR TS 28.105 Add use cases and requirements on LCM for Reinforcement Learning |
other revision of S5-250323 |
Intel, NEC, HUAWEI, ZTE, Nokia, Ericsson, Samsung | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | ||
| S5-250806 | Input to DraftCR Rel-19 TS 28.105 Add Solution of Management of Reinforcement Learning | other | ZTE Corporation | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
withdrawn | [WTS] [JSN] | |
| S5-250807 | Rel-19 28.105 Input to DraftCR Managing ML models operations in a live network | other | Samsung R&D Institute India | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250808 | Rel-19 input to DraftCR TS 28.105 Add use case, requirements and solutions of training conflict management for reinforcement learning | other | Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
withdrawn | [WTS] [JSN] | |
| S5-250809 | Rel-19 input to DraftCR TS 28.105 Add management of Distributed Training use case |
other revised to S5-251104 |
Ericsson-LG Co. LTD, CATT, Samsung R&D Institute India | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
revised | [WTS] [JSN] | |
| S5-250936 | Input to DraftCR TS 28.105 ML-Knowledge-based Transfer Learning | other | Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250937 | Input to DraftCR Rel-19 TS 28.105 Add New Use Case and Requirements of Sustainable AIML for ML training |
other revision of S5-250176 |
ZTE Corporation, Nokia, Orange | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-250938 | Input to draftCR Rel-19 TS 28.105 Use case on model confidence requirement |
other revision of S5-250640 |
Nokia | AIML_MGT_Ph2 | Rel-20 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-250939 | Input to draftCR Rel-19 TS 28.105 Solution on model confidence requirement |
other revision of S5-250641 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-250940 | Rel-19 Input to DraftCR TS 28.105 Add authentication use case | other | Ericsson AB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250941 | Rel-19 Input to DraftCR TS 28.105 Use Case and Requirements for ML model training for multiple contexts | other | Samsung Electronics France SA | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250942 | Input to DraftCR Rel19 TS28.105 New use case on ML inference emulation environment selection |
other revision of S5-250189 |
China Mobile, Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-250971 | Input to DraftCR TS 28.105 Enhance AIML inference emulation | other | Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
noted | [WTS] [JSN] | |
| S5-251062 | Input to DraftCR Rel19 TS28.105 Training Data Effectiveness clarification | other | China Mobile, Nokia, Nokia Shanghai Bell, Ericsson | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
withdrawn | [WTS] [JSN] | |
| S5-251063 | Input to draftCR Rel-19 TS 28.105 Use case on training data statistics |
other revision of S5-250642 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-251064 | Input to draftCR Rel-19 TS 28.105 Solution on training data statistics |
other revision of S5-250643 |
Nokia | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-251065 | Rel-19 CR TS 28.105 update the requirement and solution to enhance the ML model loading use case |
CR revision of S5-250470 |
Huawei,Nokia, Ericsson, FiberCop, Deutsche Telekom | 28.105 19.1.0 CR#2481 catC | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-251066 | Rel-19 CR TS 28.105 add overview of management of AI/ML capabilities for RAN 5GC and MDA |
CR revision of S5-250466 |
Huawei | 28.105 19.1.0 CR#2441 catB | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-251067 | Rel-19 CR TS 28.105 enhance OpenAPI specification description |
CR revision of S5-250467 |
Huawei | 28.105 19.1.0 CR#2451 catC | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
not pursued | [WTS] [JSN] |
| S5-251078 | Discussion on the transfer of data over UP for option 3 |
discussion revision of S5-250471 |
Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
endorsed | [WTS] [JSN] | |
| S5-251101 | Rel-19 Input to DraftCR TS 28.105 add overview of management of AI/ML capabilities for RAN 5GC and MDA | other | Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-251102 | Rel-19 Input to DraftCR TS 28.105 enhance OpenAPI specification description | other | Huawei | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-251103 | Rel-19 Input to DraftCR TS 28.105 update the requirement and solution to enhance the ML model loading use case | other | Huawei, Nokia, Ericsson, FiberCop, Deutsche Telekom | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] | |
| S5-251104 | Rel-19 input to DraftCR TS 28.105 Add management of Distributed Training use case |
other revision of S5-250809 |
Ericsson-LG Co. LTD, CATT, Samsung R&D Institute India, Deutsche Telekom | AIML_MGT_Ph2 | Rel-19 |
S5-159 AI: 6.19.1.1 |
approved | [WTS] [JSN] |
84 documents (0.41379308700562 seconds)