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" 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
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tdoc | Title | Type / Revs | Source | Spec / CR | S/WID | Release | Meeting | Status | Links |
---|---|---|---|---|---|---|---|---|---|
S5-242356 | Rel-19 pCR TR 28.9xx add solutions for use case management of different roles in Federated Learning | other | ZTE Corporation | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
merged | [WTS] [JSN] | |
S5-242357 | Rel-19 pCR TR 28.9xx AI/ML energy consumption and energy efficiency |
other revision of S5-242141 revised to S5-243111 |
ZTE Corporation, Nokia, China Unicom, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242369 | Rel-19 pCR 28.9xx Update R19 continuation use cases |
other revised to S5-243108 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242370 | Rel-19 pCR 28.9xx Relating MLModel to supported usecases |
other revised to S5-243114 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242371 | Rel-19 pCR 28.9xx Assurance of AIML data quality | other | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
S5-242393 | Rel-19 pCR TR28.9xx Add use case of AI emulation | other | China Mobile | Rel-19 |
S5-155 AI: 6.19.1 |
not treated | [WTS] [JSN] | ||
S5-242394 | Rel-19 pCR TR28.9xx Add use case of performance monitoring |
other revised to S5-243110 |
China Mobile | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | ||
S5-242499 | Rel-19 pCR TR28.9xx AIML energy consumption dependencies |
other revised to S5-243112 |
Nokia, ZTE, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242501 | Rel-19 pCR TR28.9xx Training Data Statistical Properties |
other revised to S5-243115 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242502 | Rel-19 pCR TR28.9xx Confidence Threshold |
other revised to S5-243116 |
Nokia | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | ||
S5-242503 | Rel-19 pCR TR28.9xx ML Training Feasibility Check | other | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-242511 | Rel-19 pCR TR28.9xx Management of Reinforcement Learning |
other revised to S5-243107 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242512 | Rel-19 pCR TR28.9xx Clusters for Joint Training of ML models |
other revised to S5-243118 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242539 | Rel-19 pCR TR 28.9xx Add ML model generate concept | other | Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
merged | [WTS] [JSN] | |
S5-242540 | Rel-19 pCR TR 28.9xx Add ML knowlege transfer use case and requirements |
other revised to S5-243109 |
Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242541 | Rel-19 pCR TR 28.9xx Enhance the ML model loading use case | other | Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
S5-242542 | Rel-19 pCR TR 28.9xx Add federated learning management use case and requirements | other | Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
merged | [WTS] [JSN] | |
S5-242557 | Rel-19 pCR TR 28.9xx add the procedure of AIML lifecycle management | other | Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
S5-242662 | Rel-19 pCR TR28.9xx R19 Support for efficient re-training | other | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
S5-242663 | Rel-19 pCR TR28.9xx AIML total energy saving | other | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-242664 | DP on potential gaps in Inference management in TS 28.105 | discussion | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
S5-242696 | pCR 28.9xy Add use case for management of consumer-triggered Federated Learning | other | China Mobile | Rel-19 |
S5-155 AI: 6.19.1 |
merged | [WTS] [JSN] | ||
S5-242776 | Rel-19 pCR to TR 28.9xy Add use case for ML pre-training |
other revised to S5-243096 |
China Mobile, Ericsson, Intel, NEC, CATT, Nokia, Nokia Shanghai Bell, ZTE, HUAWEI, Verizon | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242777 | Rel-19 pCR to TR 28.9xy Add use case for ML fine-tuning |
other revised to S5-243097 |
China Mobile, Ericsson, Intel, NEC, CATT, Nokia, Nokia Shanghai Bell, ZTE, HUAWEI, Verizon | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242805 | Rel-19 pCR TR 28.9xx Add use case on ML entity distributed training |
other revised to S5-243095 |
CATT | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242863 | Rel-19 pCR TR28.9xx AI/ML inference timeliness | other | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
not treated | [WTS] [JSN] | |
S5-242912 | pCR TR 28.9xy Add use case for management of Federated Learning |
other revised to S5-243103 |
Intel, ZTE, Nokia, China Mobile, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-242918 | pCR TR 28.9xy Add possible solution for management of Federated Learning |
other revised to S5-243105 |
Intel, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-243095 | Rel-19 pCR TR 28.9xx Add use case on ML entity distributed training |
other revision of S5-242805 |
CATT, Ericsson | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243096 | Rel-19 pCR to TR 28.9xy Add use case for ML pre-training |
other revision of S5-242776 |
China Mobile, Ericsson, Intel, NEC, CATT, Nokia, Nokia Shanghai Bell, ZTE, HUAWEI, Verizon, China Unicom | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
approved | [WTS] [JSN] | |
S5-243097 | Rel-19 pCR to TR 28.9xy Add use case for ML fine-tuning |
other revision of S5-242777 |
China Mobile, Ericsson, China Unicom, Verizon, Ericsson, Intel, NEC, CATT, Nokia, Nokia Shanghai Bell, ZTE, HUAWEI | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243102 | pCR 28.9xy Add use case for management of consumer-triggered Federated Learning | other | China Mobile | Rel-19 |
S5-155 AI: 6.19.1 |
withdrawn | [WTS] [JSN] | ||
S5-243103 | pCR TR 28.9xy Add use case for management of Federated Learning |
other revision of S5-242912 |
Intel, ZTE, Nokia, China Mobile, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243105 | pCR TR 28.9xy Add possible solution for management of Federated Learning |
other revision of S5-242918 |
Intel, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243107 | Rel-19 pCR TR28.9xx Management of Reinforcement Learning |
other revision of S5-242511 revised to S5-243314 |
Nokia, ZTE | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-243108 | Rel-19 pCR 28.9xx Update R19 continuation use cases |
other revision of S5-242369 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243109 | Rel-19 pCR TR 28.9xx Add ML knowlege transfer use case and requirements |
other revision of S5-242540 |
Huawei | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243110 | Rel-19 pCR TR28.9xx Add use case of performance monitoring |
other revision of S5-242394 |
China Mobile | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | ||
S5-243111 | Rel-19 pCR TR 28.9xx AI/ML energy consumption and energy efficiency |
other revision of S5-242357 revised to S5-243434 |
ZTE Corporation, Nokia, China Unicom, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
revised | [WTS] [JSN] | |
S5-243112 | Rel-19 pCR TR28.9xx AIML energy consumption dependencies |
other revision of S5-242499 |
Nokia, ZTE, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243113 | Rel-19 pCR TR28.9xx AIML total energy saving | other | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
withdrawn | [WTS] [JSN] | |
S5-243114 | Rel-19 pCR 28.9xx Relating MLModel to supported usecases |
other revision of S5-242370 |
Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243115 | Rel-19 pCR TR28.9xx Training Data Statistical Properties |
other revision of S5-242501 |
Nokia, Ericsson | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
approved | [WTS] [JSN] | |
S5-243116 | Rel-19 pCR TR28.9xx Confidence Threshold |
other revision of S5-242502 |
Nokia, Ericsson | Rel-19 |
S5-155 AI: 6.19.1 |
approved | [WTS] [JSN] | ||
S5-243117 | Rel-19 pCR TR28.9xx ML Training Feasibility Check | other | Nokia | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
withdrawn | [WTS] [JSN] | |
S5-243118 | Rel-19 pCR TR28.9xx Clusters for Joint Training of ML models |
other revision of S5-242512 |
Nokia, Ericsson | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
approved | [WTS] [JSN] | |
S5-243257 | Report from breakout session on AIML | report | SA5 WG Vice-Chair (Nokia) | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
noted | [WTS] [JSN] | |
S5-243314 | Rel-19 pCR TR28.9xx Management of Reinforcement Learning |
other revision of S5-243107 |
Nokia, ZTE | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
approved | [WTS] [JSN] | |
S5-243434 | Rel-19 pCR TR 28.9xx AI/ML energy consumption and energy efficiency |
other revision of S5-243111 |
ZTE Corporation, Nokia, China Unicom, NEC | FS_AIML_MGT_Ph2 | Rel-19 |
S5-155 AI: 6.19.1 |
approved | [WTS] [JSN] |
49 documents (0.36370897293091 seconds)