Do We Really Need to Design New Byzantine-robust Aggregation Rules?

Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu +3

Federated learning (FL) allows multiple clients to collaboratively train a global machine learning model through a server, without exchanging their private training data. However,…