Abstract: Federated learning (FL), as a distributed machine learning paradigm, enables multiple users to train machine learning models locally using individual data and then update global model in a ...
The p2 Update sites listed above (since 0.13.0) contain a japicmp report against the last released version to make it easier to identify API changes. The Eclipse LSP4J project uses Semantic Versioning ...
Abstract: Verifiable secure aggregation (VSA) is a critical procedure in federated learning (FL), where secure aggregation achieves local gradients aggregation while data confidentiality is preserved, ...
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