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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

22 May 2024
Puning Zhao
Lifeng Lai
Li Shen
Qingming Li
Jiafei Wu
Zhe Liu
ArXivPDFHTML

Papers citing "A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy"

4 / 4 papers shown
Title
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
Can Jin
Hongwu Peng
Anxiang Zhang
Nuo Chen
Jiahui Zhao
...
K. Li
Shuya Feng
Kai Zhong
Caiwen Ding
Dimitris N. Metaxas
99
2
0
02 Feb 2025
Distribution-Aware Mean Estimation under User-level Local Differential
  Privacy
Distribution-Aware Mean Estimation under User-level Local Differential Privacy
Corentin Pla
Hugo Richard
Maxime Vono
FedML
29
0
0
12 Oct 2024
Differential Private Stochastic Optimization with Heavy-tailed Data:
  Towards Optimal Rates
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates
Puning Zhao
Jiafei Wu
Zhe Liu
Chong Wang
Rongfei Fan
Qingming Li
40
1
0
19 Aug 2024
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