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Towards Federated Learning at Scale: System Design [Paper] [MLSys'19]
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BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning [Paper] [Github] [ATC'20]
- FATE @ Webank [Github]
- Tensorflow Federated @ Google [Github]
- PySyft @ OpenMined [Github]
- A Generic Framework for Privacy Preserving Peep Pearning [Paper]
- PaddleFL @ Baidu [Github]
- Nvidia Clara SDK [Web]
- Flower [Github] [Website] [Paper]
- A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.