Invention Grant
- Patent Title: Method and apparatus for fetching gradient data for federated learning process
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Application No.: US17584332Application Date: 2022-01-25
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Publication No.: US12175346B2Publication Date: 2024-12-24
- Inventor: Srinivas Yerramalli , Taesang Yoo , Rajat Prakash , Junyi Li , Eren Balevi , Hamed Pezeshki , Tao Luo , Xiaoxia Zhang , Aziz Gholmieh
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: QUALCOMM Incorporated
- Main IPC: G06N20/20
- IPC: G06N20/20 ; H04L1/1829

Abstract:
A method of wireless communication by a user equipment (UE) includes receiving, from a network device, a request to initiate gradient computations for a round of federated learning. The method also includes computing gradients in response to receiving the request to initiate gradient computation. The method further includes informing the network device of availability of the gradients. The method still further includes receiving, from the network device, information to enable transfer of the gradients to the network device. The method further includes transferring the gradients to the network device in response to receiving the information to enable transfer.
Public/Granted literature
- US20230274194A1 METHOD AND APPARATUS FOR FETCHING GRADIENT DATA FOR FEDERATED LEARNING PROCESS Public/Granted day:2023-08-31
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