most citedMUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering

1 citations · 1 across the 1 of their papers we have counts for

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cs.CR2022★ 1 cited

MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering

Rui Wang, Xingkai Wang, Huanhuan Chen +4

Byzantine-robust Federated Learning (FL) aims to counter malicious clients and train an accurate global model while maintaining an extremely low attack success rate. Most existing…