ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.06570
  4. Cited By
Fast Dimension Independent Private AdaGrad on Publicly Estimated
  Subspaces
v1v2 (latest)

Fast Dimension Independent Private AdaGrad on Publicly Estimated Subspaces

14 August 2020
Peter Kairouz
Mónica Ribero
Keith Rush
Abhradeep Thakurta
ArXiv (abs)PDFHTML

Papers citing "Fast Dimension Independent Private AdaGrad on Publicly Estimated Subspaces"

9 / 9 papers shown
On Differentially Private Subspace Estimation in a Distribution-Free
  Setting
On Differentially Private Subspace Estimation in a Distribution-Free SettingNeural Information Processing Systems (NeurIPS), 2024
Eliad Tsfadia
352
3
0
09 Feb 2024
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
Xin Gu
Gautam Kamath
Zhiwei Steven Wu
315
19
0
02 Mar 2023
Stability Based Generalization Bounds for Exponential Family Langevin
  Dynamics
Stability Based Generalization Bounds for Exponential Family Langevin DynamicsInternational Conference on Machine Learning (ICML), 2022
A. Banerjee
Tiancong Chen
Xinyan Li
Yingxue Zhou
303
9
0
09 Jan 2022
Public Data-Assisted Mirror Descent for Private Model Training
Public Data-Assisted Mirror Descent for Private Model Training
Ehsan Amid
Arun Ganesh
Rajiv Mathews
Swaroop Indra Ramaswamy
Shuang Song
Thomas Steinke
Vinith Suriyakumar
Om Thakkar
Abhradeep Thakurta
291
60
0
01 Dec 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
515
461
0
14 Jul 2021
Private Adaptive Gradient Methods for Convex Optimization
Private Adaptive Gradient Methods for Convex OptimizationInternational Conference on Machine Learning (ICML), 2021
Hilal Asi
John C. Duchi
Alireza Fallah
O. Javidbakht
Kunal Talwar
215
61
0
25 Jun 2021
Large Scale Private Learning via Low-rank Reparametrization
Large Scale Private Learning via Low-rank ReparametrizationInternational Conference on Machine Learning (ICML), 2021
Da Yu
Huishuai Zhang
Wei Chen
Jian Yin
Tie-Yan Liu
408
119
0
17 Jun 2021
The Power of Sampling: Dimension-free Risk Bounds in Private ERM
The Power of Sampling: Dimension-free Risk Bounds in Private ERM
Yin Tat Lee
Daogao Liu
Zhou Lu
402
3
0
28 May 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for
  Private Learning
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private LearningInternational Conference on Learning Representations (ICLR), 2021
Da Yu
Huishuai Zhang
Wei Chen
Tie-Yan Liu
FedMLSILM
354
130
0
25 Feb 2021
1
Page 1 of 1