ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.06322
  4. Cited By
A Knowledge Transfer Framework for Differentially Private Sparse
  Learning

A Knowledge Transfer Framework for Differentially Private Sparse Learning

13 September 2019
Lingxiao Wang
Quanquan Gu
    FedML
ArXiv (abs)PDFHTML

Papers citing "A Knowledge Transfer Framework for Differentially Private Sparse Learning"

6 / 6 papers shown
Title
Differentially Private Sparse Linear Regression with Heavy-tailed Responses
Differentially Private Sparse Linear Regression with Heavy-tailed Responses
Xizhi Tian
Meng Ding
Touming Tao
Zihang Xiang
Di Wang
20
0
0
07 Jun 2025
SoK: A Review of Differentially Private Linear Models For
  High-Dimensional Data
SoK: A Review of Differentially Private Linear Models For High-Dimensional Data
Amol Khanna
Edward Raff
Nathan Inkawhich
90
4
0
01 Apr 2024
Scaling Up Differentially Private LASSO Regularized Logistic Regression
  via Faster Frank-Wolfe Iterations
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations
Edward Raff
Amol Khanna
Fred Lu
67
7
0
30 Oct 2023
Faster Rates of Private Stochastic Convex Optimization
Faster Rates of Private Stochastic Convex Optimization
Jinyan Su
Lijie Hu
Di Wang
102
13
0
31 Jul 2021
High Dimensional Differentially Private Stochastic Optimization with
  Heavy-tailed Data
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
Lijie Hu
Shuo Ni
Hanshen Xiao
Di Wang
152
53
0
23 Jul 2021
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Efficient Privacy-Preserving Stochastic Nonconvex Optimization
Lingxiao Wang
Bargav Jayaraman
David Evans
Quanquan Gu
61
28
0
30 Oct 2019
1