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 |
|---|---|---|---|---|---|---|---|---|---|
| R1-2505135 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Ericsson | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505150 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | FUTUREWEI | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505163 | Discussion on Inter-vendor training collaboration for two-sided AI/ML models | discussion | Spreadtrum, UNISOC | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505201 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Huawei, HiSilicon | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505241 | AI/ML CSI Spatial/Frequency Compression: Inter-vendor Collaboration | discussion | InterDigital, Inc. | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505262 | Inter-Vendor Collaboration for AI/ML based CSI Compression | discussion | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | ||
| R1-2505301 | Discussion on Inter-vendor training collaboration for CSI compression | discussion | CATT | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505407 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | vivo | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505454 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Xiaomi | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505479 | Discussion on inter-vendor collaboration for CSI compression | discussion | TCL | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505493 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | ZTE Corporation, Sanechips | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505575 | Views on inter-vendor training collaboration for two-sided AI/ML models | discussion | Samsung | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505642 | Discussion on Inter-vendor Training Collaboration for AI/ML models | discussion | NEC | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505689 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Lenovo | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505701 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Panasonic | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505748 | Inter-vendor training collaboration for AI/ML CSI compression | discussion | OPPO | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505804 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Nokia | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505806 | Reference Model for Data Generation | discussion | NTU | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505821 | Discussion on Inter-vendor training collaboration for two-sided models | discussion | LG Electronics | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505904 | Inter-vendor training collaboration for two sided AI/ML models | discussion | Apple | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2505964 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Fujitsu | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2506012 | Discussions on Inter-vendor training collaboration | discussion | Sharp | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2506031 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | MediaTek Inc. | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2506059 | Discussion on inter vendor training collaboration for two-sided AI/ML models | discussion | ETRI | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2506090 | Discussion on inter-vendor training collaboration for CSI compression | discussion | CMCC | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2506109 | Discussion on Inter-Vendor Training collaboration for Two-Side AI/ML Models | discussion | Sony | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2506209 | Inter-vendor training collaboration for two-sided CSI compression use case | discussion | Qualcomm Incorporated | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2506296 | Discussion on the inter-vendor training collaborations for two-sided AI/ML models | discussion | NTT DOCOMO, INC. | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
not treated | [WTS] [JSN] | |
| R1-2506467 | Summary #1 on other aspects of AI/ML for CSI enhancement |
discussion revised to R1-2506468 |
Moderator (Apple) | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
revised | [WTS] [JSN] | |
| R1-2506468 | Summary #2 on other aspects of AI/ML for CSI enhancement |
discussion revision of R1-2506467 |
Moderator (Apple) | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2506469 | Summary #3 on other aspects of AI/ML for CSI enhancement |
discussion revised to R1-2506470 |
Moderator (Apple) | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
revised | [WTS] [JSN] | |
| R1-2506470 | Summary #4 on other aspects of AI/ML for CSI enhancement |
discussion revision of R1-2506469 |
Moderator (Apple) | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122 AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2506745 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | FUTUREWEI |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2506776 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | ZTE Corporation, Sanechips | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2506783 | Discussion on inter-vendor collaboration for CSI compression | discussion | TCL |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2506794 | AI/ML CSI Spatial/Frequency Compression: Inter-vendor Collaboration | discussion | InterDigital, Inc. | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2506805 | Discussion on Inter-vendor training collaboration for two-sided AI/ML models | discussion | Spreadtrum, UNISOC | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2506834 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Ericsson | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2506889 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | vivo |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2506933 | Discussion on Inter-vendor training collaboration for two-sided AI/ML models | discussion | Huawei, HiSilicon | NR_AIML_air_Ph2-Core | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2506980 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Xiaomi | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2507008 | Discussion on inter-vendor training collaboration for CSI compression | discussion | CMCC |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2507110 | Inter-vendor training collaboration for CSI compression | discussion | CATT | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507167 | Inter-vendor training collaboration for AI/ML CSI compression | discussion | OPPO |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2507244 | Views on inter-vendor training collaboration for two-sided AI/ML models | discussion | Samsung | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507282 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Fujitsu | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507324 | Discussion on Inter-vendor training collaboration for two-sided AI/ML models | discussion | China Telecom | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507391 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Nokia |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2507398 | Discussion on Inter-vendor training collaboration for two-sided models | discussion | LG Electronics | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507414 | Discussion on Inter-vendor Training Collaboration for two-sided AI/ML models | discussion | NEC | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507417 | Discussion on inter-vendor training collaboration for two-sided AI/ML models | discussion | Panasonic | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507487 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Lenovo | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507498 | Discussion on inter vendor training collaboration for two-sided AI/ML models | discussion | ETRI |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2507519 | Inter-Vendor Collaboration for AI/ML based CSI Compression | discussion |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||||
| R1-2507553 | Discussions on Inter-vendor training collaboration | discussion | Sharp | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507588 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | Sony |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2507618 | Inter-vendor training collaboration for two-sided AI/ML models | discussion | MediaTek Inc. | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2507665 | Discussion on inter-vendor training collaboration for two sided AI/ML models | discussion | Apple | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2507666 | FL summary # 1 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2507667 | FL summary # 2 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2507668 | FL summary # 3 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |
| R1-2507712 | Inter-vendor training collaboration for two-sided CSI compression use case | discussion | Qualcomm Incorporated |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2507732 | Discussion on inter-vendor training collaboration for two-sided models | discussion | Indian Institute of Tech (M) | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507764 | Discussion on inter-vendor training collaboration | discussion | Continental Automotive | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507804 | Discussion on the inter-vendor training collaborations for two-sided AI/ML models | discussion | NTT DOCOMO, INC. | Rel-20 |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | ||
| R1-2507828 | Views on inter-vendor training collaboration for two-sided AI/ML models | discussion | BUPT, ZGC Institute of Ubiquitous-X Innovation and Application |
R1-122-bis AI: 10.1.2 |
noted | [WTS] [JSN] | |||
| R1-2508131 | Summary #4 for inter-vendor training collaboration | discussion | Moderator (Apple) | NR_AIML_air_Ph2 | Rel-20 |
R1-122-bis AI: 10.1.2 |
withdrawn | [WTS] [JSN] |
67 documents (0.43779301643372 seconds)