Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee

Shiyuan Zuo, Jiashuo Li, Rongfei Fan +2

Federated Learning (FL) enables multiple clients to collaboratively train models without sharing raw data, but it is highly vulnerable to Byzantine attacks. Existing robust approac…