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20202022
most citedDifferentially Private Federated Learning with Laplacian Smoothing

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

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cs.LG2022

On Private Online Convex Optimization: Optimal Algorithms in -Geometry and High Dimensional Contextual Bandits

Yuxuan Han, Zhicong Liang, Zhipeng Liang +3

Differentially private (DP) stochastic convex optimization (SCO) is ubiquitous in trustworthy machine learning algorithm design. This paper studies the DP-SCO problem with streamin…