Invention Grant
- Patent Title: Updating of statistical sets for decentralized distributed training of a machine learning model
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Application No.: US17159710Application Date: 2021-01-27
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Publication No.: US11636280B2Publication Date: 2023-04-25
- Inventor: Xiaodong Cui , Wei Zhang , Mingrui Liu , Abdullah Kayi , Youssef Mroueh , Alper Buyuktosunoglu
- 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: Amin, Turocy & Watson, LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F15/173 ; G06N20/00 ; G06N3/08

Abstract:
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.
Public/Granted literature
- US20220245397A1 UPDATING OF STATISTICAL SETS FOR DECENTRALIZED DISTRIBUTED TRAINING OF A MACHINE LEARNING MODEL Public/Granted day:2022-08-04
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