1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CR2026★ 1 cited
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification
Shanshan Han, Wenxuan Wu, Baturalp Buyukates +4
Federated Learning (FL) systems are susceptible to adversarial attacks, such as model poisoning attacks and backdoor attacks. Existing defense mechanisms face critical limitations…
cs.DC2026
Understanding Communication Backends in Cross-Silo Federated Learning
Amir Ziashahabi, Chaoyang He, Salman Avestimehr
Federated learning (FL) has emerged as a practical means for privacy-preserving distributed machine learning. FL's versatile design makes it suitable for various training settings,…