Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model

11 October 2023

Papers citing "Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model"

5 / 5 papers shown

Title
Better Locally Private Sparse Estimation Given Multiple Samples Per User Yuheng Ma Ke Jia Hanfang Yang FedML 36 1 0 08 Aug 2024
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data Jinyan Su Jinhui Xu Di Wang 21 2 0 17 Sep 2022
Private Stochastic Optimization With Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses Andrew Lowy Meisam Razaviyayn 30 13 0 15 Sep 2022
(Nearly) Optimal Private Linear Regression via Adaptive Clipping Prateeksha Varshney Abhradeep Thakurta Prateek Jain 38 8 0 11 Jul 2022
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