60 citations · 160 across the 10 of their papers we have counts for
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cs.LG2020★ 60 cited
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong
Deep learning models are increasingly popular in many machine learning applications where the training data may contain sensitive information. To provide formal and rigorous privac…
cs.LG2020★ 8 cited
Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds
Yingxue Zhou, Xiangyi Chen, Mingyi Hong +2
We study differentially private (DP) algorithms for stochastic non-convex optimization. In this problem, the goal is to minimize the population loss over a -dimensional space gi…