发明授权
- 专利标题: Transformer-based cross-node machine learning systems for wireless communication
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申请号: US17452697申请日: 2021-10-28
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公开(公告)号: US11871261B2公开(公告)日: 2024-01-09
- 发明人: June Namgoong , Yang Yang , Hyojin Lee , Taesang Yoo
- 申请人: QUALCOMM Incorporated
- 申请人地址: US CA San Diego
- 专利权人: QUALCOMM Incorporated
- 当前专利权人: QUALCOMM Incorporated
- 当前专利权人地址: US CA San Diego
- 代理机构: QUALCOMM Incorporated
- 主分类号: H04W4/00
- IPC分类号: H04W4/00 ; H04W24/10 ; H04B7/0456 ; H04L5/00 ; H04W72/23
摘要:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a transformer configuration that includes a transmitter neural network configured to be used to generate at least one latent vector corresponding to one or more computation tasks of a plurality of computation tasks associated with a transformer-based cross-node machine learning system. The UE may transmit the at least one latent vector based at least in part on instantiating the transmitter neural network. Numerous other aspects are described.
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