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Learning with User-Level Local Differential Privacy

Learning with User-Level Local Differential Privacy

27 May 2024
Puning Zhao
Li Shen
Rongfei Fan
Qingming Li
Huiwen Wu
Jiafei Wu
Zhe Liu
ArXivPDFHTML

Papers citing "Learning with User-Level Local Differential Privacy"

4 / 4 papers shown
Title
CorBin-FL: A Differentially Private Federated Learning Mechanism using
  Common Randomness
CorBin-FL: A Differentially Private Federated Learning Mechanism using Common Randomness
Hojat Allah Salehi
Md Jueal Mia
S. Sandeep Pradhan
M. Hadi Amini
Farhad Shirani
FedML
24
0
0
20 Sep 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level
  Differential Privacy
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy
Puning Zhao
Lifeng Lai
Li Shen
Qingming Li
Jiafei Wu
Zhe Liu
47
7
0
22 May 2024
DRIVE: One-bit Distributed Mean Estimation
DRIVE: One-bit Distributed Mean Estimation
S. Vargaftik
Ran Ben-Basat
Amit Portnoy
Gal Mendelson
Y. Ben-Itzhak
Michael Mitzenmacher
OOD
FedML
66
51
0
18 May 2021
Robust and Differentially Private Mean Estimation
Robust and Differentially Private Mean Estimation
Xiyang Liu
Weihao Kong
Sham Kakade
Sewoong Oh
OOD
FedML
37
75
0
18 Feb 2021
1