Differentially Private Federated Learning with Laplacian Smoothing

Zhicong Liang, Bao Wang, Quanquan Gu +2

Federated learning aims to protect data privacy by collaboratively learning a model without sharing private data among users. However, an adversary may still be able to infer the p…