2 papers
cs.CR2025
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
Usama Zafar, André M. H. Teixeira, Salman Toor
Federated learning (FL) enables collaborative model training across distributed clients without sharing raw data, but its robustness is threatened by Byzantine behaviors such as da…
cs.LG2025
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev, Usama Zafar, Salman Toor +1
Federated Learning enables collaborative training of machine learning models on decentralized data. This scheme, however, is vulnerable to adversarial attacks, when some of the cli…