ReSQueing Parallel and Private Stochastic Convex Optimization

1 January 2023

Papers citing "ReSQueing Parallel and Private Stochastic Convex Optimization"

10 / 10 papers shown

Title
Adaptive Batch Size for Privately Finding Second-Order Stationary Points Daogao Liu Kunal Talwar 221 0 0 10 Oct 2024
Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization Guy Kornowski Daogao Liu Kunal Talwar 37 2 0 08 Oct 2024
Differentially Private Bilevel Optimization Guy Kornowski 222 0 0 29 Sep 2024
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization A. Jambulapati Aaron Sidford Kevin Tian 68 1 0 11 Jun 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions Hilal Asi Daogao Liu Kevin Tian 53 3 0 04 Jun 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates Hilal Asi Daogao Liu 32 9 0 07 Nov 2023
Learning across Data Owners with Joint Differential Privacy Yangsibo Huang Haotian Jiang Daogao Liu Mohammad Mahdian Jieming Mao Vahab Mirrokni FedML 47 0 0 25 May 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
Private Convex Optimization via Exponential Mechanism Sivakanth Gopi Y. Lee Daogao Liu 89 52 0 01 Mar 2022
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 184 683 0 07 Dec 2010