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Discrete Distribution Estimation under User-level Local Differential
  Privacy

Discrete Distribution Estimation under User-level Local Differential Privacy

7 November 2022
Jayadev Acharya
Yuhan Liu
Ziteng Sun
ArXivPDFHTML

Papers citing "Discrete Distribution Estimation under User-level Local Differential Privacy"

13 / 13 papers shown
Title
Exactly Minimax-Optimal Locally Differentially Private Sampling
Exactly Minimax-Optimal Locally Differentially Private Sampling
Hyun-Young Park
Shahab Asoodeh
Si-Hyeon Lee
24
1
0
30 Oct 2024
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
34
0
0
12 Oct 2024
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
Minimax And Adaptive Transfer Learning for Nonparametric Classification
  under Distributed Differential Privacy Constraints
Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
Arnab Auddy
T. T. Cai
Abhinav Chakraborty
36
1
0
28 Jun 2024
Optimal Federated Learning for Nonparametric Regression with
  Heterogeneous Distributed Differential Privacy Constraints
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
Federated Nonparametric Hypothesis Testing with Differential Privacy
  Constraints: Optimal Rates and Adaptive Tests
Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
T. T. Cai
Abhinav Chakraborty
Lasse Vuursteen
FedML
40
1
0
10 Jun 2024
Learning with User-Level Local Differential Privacy
Learning with User-Level Local Differential Privacy
Puning Zhao
Li Shen
Rongfei Fan
Qingming Li
Huiwen Wu
Jiafei Wu
Zhe Liu
27
2
0
27 May 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
User-level Differentially Private Stochastic Convex Optimization:
  Efficient Algorithms with Optimal Rates
User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates
Hilal Asi
Daogao Liu
19
8
0
07 Nov 2023
User-Level Differential Privacy With Few Examples Per User
User-Level Differential Privacy With Few Examples Per User
Badih Ghazi
Pritish Kamath
Ravi Kumar
Pasin Manurangsi
Raghu Meka
Chiyuan Zhang
17
10
0
21 Sep 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
Federated Linear Contextual Bandits with User-level Differential Privacy
Ruiquan Huang
Huanyu Zhang
Luca Melis
Milan Shen
Meisam Hajzinia
J. Yang
FedML
20
11
0
08 Jun 2023
Continual Mean Estimation Under User-Level Privacy
Continual Mean Estimation Under User-Level Privacy
Anand George
Lekshmi Ramesh
A. V. Singh
Himanshu Tyagi
FedML
23
8
0
20 Dec 2022
Amplification by Shuffling: From Local to Central Differential Privacy
  via Anonymity
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
141
420
0
29 Nov 2018
1