Differentially Private Coordinate Descent for Composite Empirical Risk Minimization

22 October 2021

Papers citing "Differentially Private Coordinate Descent for Composite Empirical Risk Minimization"

4 / 4 papers shown

Title
Differential Privacy with Higher Utility by Exploiting Coordinate-wise Disparity: Laplace Mechanism Can Beat Gaussian in High Dimensions Gokularam Muthukrishnan Sheetal Kalyani 79 0 0 28 Jan 2025
Improving Differentially Private SGD via Randomly Sparsified Gradients Junyi Zhu Matthew B. Blaschko 21 5 0 01 Dec 2021
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao Tong Zhang ODL 76 736 0 19 Mar 2014
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes Ohad Shamir Tong Zhang 99 570 0 08 Dec 2012