Differentially Private SGD with Non-Smooth Losses

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Differentially Private SGD with Non-Smooth Losses

22 January 2021

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Papers citing "Differentially Private SGD with Non-Smooth Losses"

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Title
Enhancing DP-SGD through Non-monotonous Adaptive Scaling Gradient Weight Tao Huang Qingyu Huang Xin Shi Jiayang Meng Guolong Zheng Xu Yang Xun Yi 65 0 0 05 Nov 2024
Noise is All You Need: Private Second-Order Convergence of Noisy SGD Dmitrii Avdiukhin Michael Dinitz Chenglin Fan G. Yaroslavtsev 64 1 0 09 Oct 2024
Tangent Transformers for Composition, Privacy and Removal Tian Yu Liu Aditya Golatkar Stefano Soatto 72 9 0 16 Jul 2023
Differentially Private Learning with Per-Sample Adaptive Clipping Tianyu Xia Shuheng Shen Su Yao Xinyi Fu Ke Xu Xiaolong Xu Xingbo Fu 98 17 0 01 Dec 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 74 18 0 16 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 85 5 0 09 Sep 2022
High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent Paul Mangold A. Bellet Joseph Salmon Marc Tommasi 68 5 0 04 Jul 2022
Normalized/Clipped SGD with Perturbation for Differentially Private Non-Convex Optimization Xiaodong Yang Huishuai Zhang Wei Chen Tie-Yan Liu 74 38 0 27 Jun 2022
Sharper Utility Bounds for Differentially Private Models Yilin Kang Yong Liu Jian Li Weiping Wang FedML 83 3 0 22 Apr 2022
Stability and Generalization of Differentially Private Minimax Problems Yilin Kang Yong Liu Jian Li Weiping Wang 134 3 0 11 Apr 2022
Differentially Private SGDA for Minimax Problems Zhenhuan Yang Shu Hu Yunwen Lei Kush R. Varshney Siwei Lyu Yiming Ying 68 21 0 22 Jan 2022
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization Paul Mangold A. Bellet Joseph Salmon Marc Tommasi 109 14 0 22 Oct 2021
Stability and Generalization for Randomized Coordinate Descent Puyu Wang Liang Wu Yunwen Lei 58 7 0 17 Aug 2021
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints Shaojie Li Yong Liu 103 13 0 19 Jul 2021