Byzantine-robust federated learning
US12175338B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 9, 2021 |
| Grant date | Dec 24, 2024 |
| Priority date | — |
| Expiry date | Oct 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/033
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A federated learning method comprises creating a log of previously provided gradients from a plurality of workers, receiving updated gradients from the plurality of workers, calculating a vulnerability weight for each layer of a global machine learning model using the updated gradients, calculating an aggregated gradient using the vulnerability weight and the updated gradients, and updating the global machine learning model using the aggregated gradient. Some embodiments may also determine whether a Byzantine attack is occurring based upon the calculated aggregated gradient. An apparatus and computer program product may be used to implement the method.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.