System and method for deep learning techniques utilizing continuous federated learning with a distributed data generative model
US12430565B2 · kind B2 · utility
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Key dates
| Filing date | Jul 1, 2021 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Dec 10, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer implemented method is provided. The method includes establishing, via multiple processors, a continuous federated learning framework including a global model at a global site and respective local models derived from the global model at respective local sites. The method also includes retraining or retuning, via the multiple processors, the global model and the respective local models without sharing actual datasets between the global site and the respective local sites but instead sharing synthetic datasets generated from the actual datasets.
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