Non-Euclidean Differentially Private Stochastic Convex Optimization

Type: Preprint

Publication Date: 2021-03-01

Citations: 10

Locations

  • arXiv (Cornell University) - View

Similar Works

Action Title Year Authors
+ Non-Euclidean Differentially Private Stochastic Convex Optimization: Optimal Rates in Linear Time 2021 Raef Bassily
Crist贸bal Guzm谩n
Anupama Nandi
+ Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited 2023 Jinyan Su
Changhong Zhao
Di Wang
+ Private Convex Optimization in General Norms 2022 Sivakanth Gopi
Yin Tat Lee
Daogao Liu
Ruoqi Shen
Kevin Tian
+ PDF Chat Private Convex Optimization in General Norms 2023 Sivakanth Gopi
Yin Tat Lee
Daogao Liu
Ruoqi Shen
Kevin Tian
+ Private Stochastic Convex Optimization: Optimal Rates in $\ell_1$ Geometry 2021 Hilal Asi
Vitaly Feldman
Tomer Koren
Kunal Talwar
+ Differentially Private SGD with Non-Smooth Losses 2021 Puyu Wang
Yunwen Lei
Yiming Ying
Hai Zhang
+ Private Stochastic Convex Optimization with Optimal Rates 2019 Raef Bassily
Vitaly Feldman
Kunal Talwar
Abhradeep Thakurta
+ Private Stochastic Convex Optimization with Optimal Rates 2019 Raef Bassily
Vitaly Feldman
Kunal Talwar
Abhradeep Thakurta
+ Private Stochastic Convex Optimization: Optimal Rates in Linear Time 2020 Vitaly Feldman
Tomer Koren
Kunal Talwar
+ Private Stochastic Convex Optimization: Optimal Rates in Linear Time 2020 Vitaly Feldman
Tomer Koren
Kunal Talwar
+ High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data 2022 Lijie Hu
Shuo Ni
Hanshen Xiao
Di Wang
+ PDF Chat Differentially private SGD with non-smooth losses 2021 Puyu Wang
Yunwen Lei
Yiming Ying
Hai Zhang
+ Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates 2023 Michael Menart
Enayat Ullah
Raman Arora
Raef Bassily
Crist贸bal Guzm谩n
+ Differentially private stochastic gradient descent with low-noise 2024 Puyu Wang
Yunwen Lei
Yiming Ying
Ding鈥怷uan Zhou
+ Differentially Private Stochastic Gradient Descent with Low-Noise 2022 Puyu Wang
Yunwen Lei
Yiming Ying
Ding鈥怷uan Zhou
+ PDF Chat Faster Algorithms for User-Level Private Stochastic Convex Optimization 2024 Andrew M. Lowy
Daogao Liu
Hilal Asi
+ User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates 2023 Hilal Asi
Daogao Liu
+ Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings 2021 Raef Bassily
Crist贸bal Guzm谩n
Michael Menart
+ Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data 2021 Gautam Kamath
Xingtu Liu
Huanyu Zhang
+ Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings 2021 Raef Bassily
Crist贸bal Guzm谩n
Michael Menart