Efficient Privacy-Preserving Stochastic Nonconvex Optimization

Efficient Privacy-Preserving Stochastic Nonconvex Optimization

30 October 2019

Bargav Jayaraman

Quanquan Gu

Papers citing "Efficient Privacy-Preserving Stochastic Nonconvex Optimization"

8 / 8 papers shown

Title
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu Yan Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
Private Zeroth-Order Nonsmooth Nonconvex Optimization Qinzi Zhang Hoang Tran Ashok Cutkosky 40 4 0 27 Jun 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds Zehan Zhu Yan Huang Xin Wang Jinming Xu 49 0 0 04 May 2024
Differentially Private Non-convex Learning for Multi-layer Neural Networks Hanpu Shen Cheng-Long Wang Zihang Xiang Yiming Ying Di Wang 49 7 0 12 Oct 2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression Boyue Li Yuejie Chi 23 12 0 17 May 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Arun Ganesh Daogao Liu Sewoong Oh Abhradeep Thakurta ODL 27 12 0 20 Feb 2023
Momentum Aggregation for Private Non-convex ERM Hoang Tran Ashok Cutkosky 26 14 0 12 Oct 2022
Beyond Uniform Lipschitz Condition in Differentially Private Optimization Rudrajit Das Satyen Kale Zheng Xu Tong Zhang Sujay Sanghavi 26 17 0 21 Jun 2022