CARVY-FL: Client Anticlustering for Robust Voting in Provably Secure Federated Learning

Masaki Nakada, Honoka Anada, Tatsuya Kaneko +3

Federated learning (FL) enables collaborative training without directly sharing raw data, but remains vulnerable to malicious clients. Voting-based FL improves robustness by partit…