Federated learning system for training machine learning algorithms and maintaining patient privacy
US12424322B2 · kind B2 · utility
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14Claims
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Key dates
| Filing date | Jul 13, 2022 |
| Grant date | Sep 23, 2025 |
| Priority date | — |
| Expiry date | Dec 8, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for using a federated learning classifier in digital pathology includes distributing, by a centralized server, a global model to a plurality of client devices. The client devices further train the global model using a plurality images of a specimen and corresponding annotations to generate at least one further trained model. The client devices provide further trained models to the centralized server, which aggregates the further trained models with the global model to generate an updated global model. The updated global model is then distributed to the plurality of client devices.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.