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"

9 / 9 papers shown

Title
Private Zeroth-Order Nonsmooth Nonconvex Optimization Qinzi Zhang Hoang Tran Ashok Cutkosky 40 4 0 27 Jun 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah Michael Menart Raef Bassily Cristóbal Guzmán Raman Arora 30 1 0 06 Mar 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
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
Truthful Generalized Linear Models Yuan Qiu Jinyan Liu Di Wang FedML 48 3 0 16 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 46 5 0 09 Sep 2022
Beyond Uniform Lipschitz Condition in Differentially Private Optimization Rudrajit Das Satyen Kale Zheng Xu Tong Zhang Sujay Sanghavi 24 17 0 21 Jun 2022
The Power of Sampling: Dimension-free Risk Bounds in Private ERM Yin Tat Lee Daogao Liu Zhou Lu 22 3 0 28 May 2021