ESAFL: Efficient Secure Additively Homomorphic Encryption for Cross-Silo Federated Learning

Jiahui Wu, Weizhe Zhang, Fucai Luo

Cross-silo federated learning (FL) enables multiple clients to collaboratively train a machine learning model without sharing training data, but privacy in FL remains a major chall…