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High Dimensional Differentially Private Stochastic Optimization with
  Heavy-tailed Data

High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data

23 July 2021
Lijie Hu
Shuo Ni
Hanshen Xiao
Di Wang
ArXivPDFHTML

Papers citing "High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data"

12 / 12 papers shown
Title
Differential Private Stochastic Optimization with Heavy-tailed Data:
  Towards Optimal Rates
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Puning Zhao
Jiafei Wu
Zhe Liu
Chong Wang
Rongfei Fan
Qingming Li
45
1
0
19 Aug 2024
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Better Locally Private Sparse Estimation Given Multiple Samples Per User
Yuheng Ma
Ke Jia
Hanfang Yang
FedML
36
1
0
08 Aug 2024
Delving into Differentially Private Transformer
Delving into Differentially Private Transformer
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
31
5
0
28 May 2024
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
Leveraging Logical Rules in Knowledge Editing: A Cherry on the Top
Keyuan Cheng
Muhammad Asif Ali
Shu Yang
Gang Lin
Yuxuan Zhai
Haoyang Fei
Ke Xu
Lu Yu
Lijie Hu
Di Wang
KELM
34
7
0
24 May 2024
Dialectical Alignment: Resolving the Tension of 3H and Security Threats
  of LLMs
Dialectical Alignment: Resolving the Tension of 3H and Security Threats of LLMs
Shu Yang
Jiayuan Su
Han Jiang
Mengdi Li
Keyuan Cheng
Muhammad Asif Ali
Lijie Hu
Di Wang
32
5
0
30 Mar 2024
Differentially Private Non-convex Learning for Multi-layer Neural
  Networks
Differentially Private Non-convex Learning for Multi-layer Neural Networks
Hanpu Shen
Cheng-Long Wang
Zihang Xiang
Yiming Ying
Di Wang
35
7
0
12 Oct 2023
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean
  Space Revisited
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
Jinyan Su
Changhong Zhao
Di Wang
14
3
0
31 Mar 2023
Differentially Private Natural Language Models: Recent Advances and
  Future Directions
Differentially Private Natural Language Models: Recent Advances and Future Directions
Lijie Hu
Ivan Habernal
Lei Shen
Di Wang
AAML
17
18
0
22 Jan 2023
Truthful Generalized Linear Models
Truthful Generalized Linear Models
Yuan Qiu
Jinyan Liu
Di Wang
FedML
36
3
0
16 Sep 2022
Beyond Uniform Lipschitz Condition in Differentially Private
  Optimization
Beyond Uniform Lipschitz Condition in Differentially Private Optimization
Rudrajit Das
Satyen Kale
Zheng Xu
Tong Zhang
Sujay Sanghavi
22
17
0
21 Jun 2022
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
53
75
0
18 Feb 2021
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust
  Low-Rank Matrix Recovery
A Shrinkage Principle for Heavy-Tailed Data: High-Dimensional Robust Low-Rank Matrix Recovery
Jianqing Fan
Weichen Wang
Ziwei Zhu
49
96
0
28 Mar 2016
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