FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation
FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation explores A federated learning framework that uses flow-matching generation to protect client privacy and resist poisoning attacks, achieving higher accuracy and security.. Commercial viability score: 7/10 in Federated Learning.
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