FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System

Weizhao Jin, Yuhang Yao, Shanshan Han +5

Federated Learning trains machine learning models on distributed devices by aggregating local model updates instead of local data. However, privacy concerns arise as the aggregated…