Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free

27 April 2023

Papers citing "Mean Estimation Under Heterogeneous Privacy: Some Privacy Can Be Free"

5 / 5 papers shown

Title
Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints T. T. Cai Abhinav Chakraborty Lasse Vuursteen FedML 41 3 0 10 Jun 2024
Mean Estimation Under Heterogeneous Privacy Demands Syomantak Chaudhuri Konstantin Miagkov T. Courtade 14 1 0 19 Oct 2023
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning Justin Kang Ramtin Pedarsani Kannan Ramchandran FedML 23 5 0 30 Jan 2023
Leveraging Public Data for Practical Private Query Release Terrance Liu G. Vietri Thomas Steinke Jonathan R. Ullman Zhiwei Steven Wu 158 58 0 17 Feb 2021
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 69 148 0 01 May 2018