Adaptively adjusting influence in federated learning model updates
US11948096B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Mar 13, 2020 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Nov 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for improved federated learning are provided. One or more queries are issued to a plurality of participants in a federated learning system, and one or more replies are received from the plurality of participants. A first aggregated model is generated based on the one or more relies and a first influence vector. Upon determining that a predefined criterion is satisfied, a second influence vector modifying a weight of a first participant of the plurality of participants is generated. A second aggregated model is generated based on the one or more replies and the second influence vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.