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2006.06783
Cited By
Evading Curse of Dimensionality in Unconstrained Private GLMs via Private Gradient Descent
11 June 2020
Shuang Song
Thomas Steinke
Om Thakkar
Abhradeep Thakurta
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Papers citing
"Evading Curse of Dimensionality in Unconstrained Private GLMs via Private Gradient Descent"
11 / 11 papers shown
Title
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation
Chengkun Wei
Weixian Li
Chen Gong
Wenzhi Chen
58
0
0
29 Mar 2025
PILLAR: How to make semi-private learning more effective
Francesco Pinto
Yaxian Hu
Fanny Yang
Amartya Sanyal
52
11
0
06 Jun 2023
Near Optimal Private and Robust Linear Regression
Xiyang Liu
Prateek Jain
Weihao Kong
Sewoong Oh
A. Suggala
41
9
0
30 Jan 2023
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Jiyan He
Xuechen Li
Da Yu
Huishuai Zhang
Janardhan Kulkarni
Y. Lee
A. Backurs
Nenghai Yu
Jiang Bian
30
46
0
03 Dec 2022
Differentially Private Image Classification from Features
Harsh Mehta
Walid Krichene
Abhradeep Thakurta
Alexey Kurakin
Ashok Cutkosky
52
7
0
24 Nov 2022
When Does Differentially Private Learning Not Suffer in High Dimensions?
Xuechen Li
Daogao Liu
Tatsunori Hashimoto
Huseyin A. Inan
Janardhan Kulkarni
Y. Lee
Abhradeep Thakurta
34
58
0
01 Jul 2022
Toward Training at ImageNet Scale with Differential Privacy
Alexey Kurakin
Shuang Song
Steve Chien
Roxana Geambasu
Andreas Terzis
Abhradeep Thakurta
36
100
0
28 Jan 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
Xinwei Zhang
Xiangyi Chen
Min-Fong Hong
Zhiwei Steven Wu
Jinfeng Yi
FedML
30
91
0
25 Jun 2021
Fast Dimension Independent Private AdaGrad on Publicly Estimated Subspaces
Peter Kairouz
Mónica Ribero
Keith Rush
Abhradeep Thakurta
93
14
0
14 Aug 2020
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
Yingxue Zhou
Zhiwei Steven Wu
A. Banerjee
24
106
0
07 Jul 2020
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
101
571
0
08 Dec 2012
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