D2P-Fed: Differentially Private Federated Learning With Efficient Communication

Lun Wang, Ruoxi Jia, Dawn Song

In this paper, we propose the discrete Gaussian based differentially private federated learning (D2P-Fed), a unified scheme to achieve both differential privacy (DP) and communicat…