activity
20202022
most citedDifferentially Private Federated Learning with Laplacian Smoothing

9 citations · 9 across the 3 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

cs.LG2021

Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis

Bingzhe Wu, Zhicong Liang, Yatao Bian +3

Recently, generalization bounds of the non-convex empirical risk minimization paradigm using Stochastic Gradient Langevin Dynamics (SGLD) have been extensively studied. Several the…