- 专利标题: Updating of statistical sets for decentralized distributed training of a machine learning model
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申请号: US17159710申请日: 2021-01-27
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公开(公告)号: US11636280B2公开(公告)日: 2023-04-25
- 发明人: Xiaodong Cui , Wei Zhang , Mingrui Liu , Abdullah Kayi , Youssef Mroueh , Alper Buyuktosunoglu
- 申请人: International Business Machines Corporation
- 申请人地址: US NY Armonk
- 专利权人: International Business Machines Corporation
- 当前专利权人: International Business Machines Corporation
- 当前专利权人地址: US NY Armonk
- 代理机构: Amin, Turocy & Watson, LLP
- 主分类号: G06K9/62
- IPC分类号: G06K9/62 ; G06F15/173 ; G06N20/00 ; G06N3/08
摘要:
Systems, computer-implemented methods, and computer program products to facilitate updating, such as averaging and/or training, of one or more statistical sets are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can include a computing component that averages a statistical set, provided by the system, with an additional statistical set, that is compatible with the statistical set, to compute an averaged statistical set, where the additional statistical set is obtained from a selected additional system of a plurality of additional systems. The computer executable components also can include a selecting component that selects the selected additional system according to a randomization pattern.
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