Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering
arXiv:2508.12672v4 Announce Type: replace-cross
Abstract: Federated Learning (FL) enables collaborative model training across multiple clients without sharing private data. We consider FL scenarios wherein FL clients are subject to adversarial (Byzant…