Invention Grant
- Patent Title: Hybrid aggregation for deep learning neural networks
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Application No.: US15450010Application Date: 2017-03-05
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Publication No.: US10783437B2Publication Date: 2020-09-22
- Inventor: Minwei Feng , Yufei Ren , Yandong Wang , Li Zhang , Wei Zhang
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Joseph Petrokaitis
- Main IPC: G06E1/00
- IPC: G06E1/00 ; G06F12/00 ; A61K35/74 ; G06Q30/06 ; G06F12/02 ; G06N99/00 ; G06N3/08 ; G06N3/04

Abstract:
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.
Public/Granted literature
- US20180253646A1 HYBRID AGGREGATION FOR DEEP LEARNING NEURAL NETWORKS Public/Granted day:2018-09-06
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