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About the Cost of Central Privacy in Density Estimation

About the Cost of Central Privacy in Density Estimation

26 June 2023
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
ArXivPDFHTML

Papers citing "About the Cost of Central Privacy in Density Estimation"

5 / 5 papers shown
Title
Privately Learning Smooth Distributions on the Hypercube by Projections
Privately Learning Smooth Distributions on the Hypercube by Projections
Clément Lalanne
Sébastien Gadat
38
1
0
16 Sep 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
On the Statistical Complexity of Estimation and Testing under Privacy
  Constraints
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
27
7
0
05 Oct 2022
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