AntiFLipper: A Secure and Efficient Defense Against Label-Flipping Attacks in Federated Learning

Aashnan Rahman, Abid Hasan, Sherajul Arifin +5

Federated learning (FL) enables privacy-preserving model training by keeping data decentralized. However, it remains vulnerable to label-flipping attacks, where malicious clients m…