HETEROGENEOUS PROCESSING SYSTEM FOR FEDERATED LEARNING AND PRIVACY-PRESERVING COMPUTATION

    公开(公告)号:US20230088897A1

    公开(公告)日:2023-03-23

    申请号:US17888024

    申请日:2022-08-15

    发明人: Wei WANG Mo CHEN

    IPC分类号: G06N20/00 G06F9/48 H04L9/00

    摘要: A heterogeneous processing system for federated learning and privacy-preserving computation, including: a serial subsystem configured for distributing processing tasks and configuration information of processing tasks, the processing task indicating performing an operation corresponding to computing mode on one or more operands; and a parallel subsystem configured for, based on the configuration information, selectively obtaining at least one operand of the one or more operands from an intermediate result section on the parallel subsystem while obtaining remaining operand(s) of the one or more operands with respect to the at least one operand from the serial subsystem, and performing the operation on the operands obtained based on the configuration information.