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".
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| tdoc | Title | Type / Revs | Source | Spec / CR | S/WID | Release | Meeting | Status | Links |
|---|---|---|---|---|---|---|---|---|---|
| R1-2508327 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | FUTUREWEI |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508346 | AI/ML CSI Spatial/Frequency Compression: Inter-vendor Collaboration | discussion | InterDigital, Inc. | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508376 | Discussion on Inter-vendor training collaboration for two-sided AI/ML models | discussion | Spreadtrum, UNISOC | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508397 | Inter-vendor training collaboration for two-sided AIML models | discussion | Ericsson |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508420 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | vivo | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508446 | Discussion on inter-vendor training collaboration for CSI compression | discussion | CMCC |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508496 | Discussion on Inter-vendor training collaboration for two-sided AI/ML models | discussion | Huawei, HiSilicon | NR_AIML_air_Ph2-Core | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2508538 | Discussion on inter-vendor collaboration for CSI compression | discussion | TCL |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508585 | Views on inter-vendor training collaboration for CSI compression | discussion | CATT | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508602 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | China Telecom | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508630 | Discussion on Inter-vendor Training Collaboration for two-sided AI/ML models | discussion | NEC | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508672 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Xiaomi | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2508695 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | ZTE Corporation, Sanechips | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2508715 | Inter-vendor training collaboration for AI/ML CSI compression | discussion | OPPO | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2508751 | Discussion on Inter-vendor training collaboration for two-sided models | discussion | LG Electronics | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508764 | Discussion on inter-vendor training collaboration aspects for two-sided AI/ML models | discussion | KT Corp. |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508790 | Views on inter-vendor training collaboration for two-sided AI/ML models | discussion | Samsung | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508886 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Panasonic | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508927 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Fujitsu | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508944 | Inter-Vendor Collaboration for AI/ML based CSI Compression | discussion |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||||
| R1-2508951 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Nokia |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508964 | Discussion on inter vendor training collaboration for two-sided AI/ML models | discussion | ETRI |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508979 | Discussions on Inter-vendor training collaboration | discussion | Sharp | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2508987 | Inter-vendor training collaboration for two-sided CSI compression | discussion | HONOR | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2509003 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Lenovo | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2509037 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Ofinno | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2509067 | Discussion on Inter-Vendor Training Collaboration for Two-Side AI/ML Models | discussion | Sony |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2509094 | On Inter-vendor training collaboration for two sided AI/ML models | discussion | Apple | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2509095 | FL summary # 1 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2509096 | FL summary # 2 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2509097 | FL summary # 3 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2509098 | FL summary # 4 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2509152 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | MediaTek Inc. | NR_AIML_air_Ph2 | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2509219 | Inter-vendor training collaboration for two-sided CSI compression use case | discussion | Qualcomm Incorporated |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2509268 | Discussion on the inter-vendor training collaborations for two-sided AI/ML models | discussion | NTT DOCOMO, INC. | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2509374 | Discussion on inter-vendor training collaboration for two-sided models | discussion | Indian Institute of Tech (M) | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2509401 | Inter-Vendor Training Collaboration for AI/ML Assisted CSI Compression in Spatial/Frequency Domain Without Temporal Aspects | discussion | TOYOTA Info Technology Center | Rel-20 |
R1-123 AI: 10.1.2 |
noted | [WTS] [JSN] |
37 documents (0.42162609100342 seconds)