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Tight and Robust Private Mean Estimation with Few Users

Tight and Robust Private Mean Estimation with Few Users

22 October 2021
Cheng-Han Chiang
Vahab Mirrokni
Hung-yi Lee
    FedML
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Papers citing "Tight and Robust Private Mean Estimation with Few Users"

3 / 3 papers shown
Title
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
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
44
75
0
18 Feb 2021
Privately Learning High-Dimensional Distributions
Privately Learning High-Dimensional Distributions
Gautam Kamath
Jerry Li
Vikrant Singhal
Jonathan R. Ullman
FedML
69
148
0
01 May 2018
1