Adapting to Function Difficulty and Growth Conditions in Private Optimization

5 August 2021

Papers citing "Adapting to Function Difficulty and Growth Conditions in Private Optimization"

6 / 6 papers shown

Title
Private Online Learning via Lazy Algorithms Hilal Asi Tomer Koren Daogao Liu Kunal Talwar 212 1 0 05 Jun 2024
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates Hilal Asi Daogao Liu 72 11 0 07 Nov 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited Jinyan Su Changhong Zhao Di Wang 60 5 0 31 Mar 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks Arun Ganesh Daogao Liu Sewoong Oh Abhradeep Thakurta ODL 85 13 0 20 Feb 2023
Private optimization in the interpolation regime: faster rates and hardness results Hilal Asi Karan N. Chadha Gary Cheng John C. Duchi 86 5 0 31 Oct 2022
Private Online Prediction from Experts: Separations and Faster Rates Hilal Asi Vitaly Feldman Tomer Koren Kunal Talwar FedML 85 20 0 24 Oct 2022