Federated Learning Robust to Byzantine Attacks: Achieving Zero Optimality Gap

Shiyuan Zuo, Rongfei Fan, Han Hu +2

In this paper, we propose a robust aggregation method for federated learning (FL) that can effectively tackle malicious Byzantine attacks. At each user, model parameter is firstly…