Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings

12 July 2021

Papers citing "Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings"

12 / 12 papers shown

Title
Second-Order Convergence in Private Stochastic Non-Convex Optimization Youming Tao Zuyuan Zhang Dongxiao Yu Xiuzhen Cheng Falko Dressler Di Wang 9 0 0 21 May 2025
Private Zeroth-Order Nonsmooth Nonconvex Optimization Qinzi Zhang Hoang Tran Ashok Cutkosky 42 4 0 27 Jun 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah Michael Menart Raef Bassily Cristóbal Guzmán Raman Arora 32 1 0 06 Mar 2024
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks Jiayuan Ye Zhenyu Zhu Fanghui Liu Reza Shokri V. Cevher 34 12 0 31 Oct 2023
Differentially Private Non-convex Learning for Multi-layer Neural Networks Hanpu Shen Cheng-Long Wang Zihang Xiang Yiming Ying Di Wang 51 7 0 12 Oct 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Arun Ganesh Daogao Liu Sewoong Oh Abhradeep Thakurta ODL 34 13 0 20 Feb 2023
Differentially Private Learning with Per-Sample Adaptive Clipping Tianyu Xia Shuheng Shen Su Yao Xinyi Fu Ke Xu Xiaolong Xu Xingbo Fu 32 16 0 01 Dec 2022
Momentum Aggregation for Private Non-convex ERM Hoang Tran Ashok Cutkosky 28 14 0 12 Oct 2022
Truthful Generalized Linear Models Yuan Qiu Jinyan Liu Di Wang FedML 50 3 0 16 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 51 5 0 09 Sep 2022
Beyond Uniform Lipschitz Condition in Differentially Private Optimization Rudrajit Das Satyen Kale Zheng Xu Tong Zhang Sujay Sanghavi 28 17 0 21 Jun 2022
The Power of Sampling: Dimension-free Risk Bounds in Private ERM Yin Tat Lee Daogao Liu Zhou Lu 24 3 0 28 May 2021