Invention Grant
- Patent Title: Scheduled federated learning for enhanced search
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Application No.: US17199403Application Date: 2021-03-11
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Publication No.: US11755954B2Publication Date: 2023-09-12
- Inventor: Ali Anwar , Syed Amer Zawad , Yi Zhou , Nathalie Baracaldo Angel
- 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: Otterstedt & Kammer PLLC
- Agent Caleb Wilkes
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06N20/00 ; G06F16/2453

Abstract:
An indication of availability over time and resource usage is maintained for each computing device of a plurality of computing devices. An optimal combination of a subset of the plurality of computing devices is determined for each round of one or more rounds of training based on the availability over time and the resource usage for each computing device. A global model is generated utilizing the one or more optimal combinations of the plurality of computing devices and a query is performed utilizing the global model.
Public/Granted literature
- US20220292392A1 SCHEDULED FEDERATED LEARNING FOR ENHANCED SEARCH Public/Granted day:2022-09-15
Information query