ESMFL: Efficient and Secure Models for Federated Learning

Sheng Lin, Chenghong Wang, Hongjia Li +3

Nowadays, Deep Neural Networks are widely applied to various domains. However, massive data collection required for deep neural network reveals the potential privacy issues and als…