ResearchTrend.AI
Mean Estimation with User-level Privacy under Data Heterogeneity

Mean Estimation with User-level Privacy under Data Heterogeneity

Rachel Cummings
Vitaly Feldman
Audra McMillan
Kunal Talwar
ArXivPDFHTML

Papers citing "Mean Estimation with User-level Privacy under Data Heterogeneity"

5 / 5 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
Multi-Task Differential Privacy Under Distribution Skew
Multi-Task Differential Privacy Under Distribution Skew
Walid Krichene
Prateek Jain
Shuang Song
Mukund Sundararajan
Abhradeep Thakurta
Li Zhang
FedML
35
3
0
15 Feb 2023
Instance-Optimal Differentially Private Estimation
Instance-Optimal Differentially Private Estimation
Audra McMillan
Adam D. Smith
Jonathan R. Ullman
40
5
0
28 Oct 2022
Algorithms with More Granular Differential Privacy Guarantees
Algorithms with More Granular Differential Privacy Guarantees
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
54
6
0
08 Sep 2022
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms
Alireza Fallah
A. Makhdoumi
Azarakhsh Malekian
Asuman Ozdaglar
FedML
23
29
0
10 Jan 2022