- 专利标题: Hybrid aggregation for deep learning neural networks
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申请号: US15450010申请日: 2017-03-05
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公开(公告)号: US10783437B2公开(公告)日: 2020-09-22
- 发明人: Minwei Feng , Yufei Ren , Yandong Wang , Li Zhang , Wei Zhang
- 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: Garg Law Firm, PLLC
- 代理商 Rakesh Garg; Joseph Petrokaitis
- 主分类号: G06E1/00
- IPC分类号: G06E1/00 ; G06F12/00 ; A61K35/74 ; G06Q30/06 ; G06F12/02 ; G06N99/00 ; G06N3/08 ; G06N3/04
摘要:
A processing unit topology of a neural network including a plurality of processing units is determined. The neural network includes at least one machine in which each machine includes a plurality of nodes, and wherein each node includes at least one of the plurality of processing units. One or more of the processing units are grouped into a first group according to a first affinity. The first group is configured, using a processor and a memory, to use a first aggregation procedure for exchanging model parameters of a model of the neural network between the processing units of the first group. One or more of the processing units are grouped into a second group according to a second affinity. The second group is configured to use a second aggregation procedure for exchanging the model parameters between the processing units of the second group.
公开/授权文献
- US20180253646A1 HYBRID AGGREGATION FOR DEEP LEARNING NEURAL NETWORKS 公开/授权日:2018-09-06
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