Our paper “Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective ” has been accepted to CVPR 2021!
Our paper “FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking” has been accepted to SenSys 2021!
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