Understanding Byzantine Robustness in Federated Learning with A Black-box Server

Fangyuan Zhao, Yuexiang Xie, Xuebin Ren +3

Federated learning (FL) becomes vulnerable to Byzantine attacks where some of participators tend to damage the utility or discourage the convergence of the learned model via sendin…