6 citations · 17 across the 8 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2022
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization
Yi-An Ma, Teodor Vanislavov Marinov, Tong Zhang
This paper considers the generalization performance of differentially private convex learning. We demonstrate that the convergence analysis of Langevin algorithms can be used to ob…
cs.LG2022★ 1 cited
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
Rudrajit Das, Satyen Kale, Zheng Xu +2
Most prior results on differentially private stochastic gradient descent (DP-SGD) are derived under the simplistic assumption of uniform Lipschitzness, i.e., the per-sample gradien…