Abstract: Privacy-preserving federated learning (PPFL) allows multiple users to collaboratively train models on local devices without the the risk of privacy leakage ...
released: contains original sources of all used packages. master: contains all necessary changes to be able to compile with Visual Studio. From this branch the binary releases are built. Currently ...
Abstract: Machine learning-based services offer intelligent solutions with powerful models. To enhance model robustness, Federated Learning (FL) emerges as a promising collaborative learning paradigm, ...
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