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On the Statistical Complexity of Estimation and Testing under Privacy
  Constraints
v1v2 (latest)

On the Statistical Complexity of Estimation and Testing under Privacy Constraints

5 October 2022
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
ArXiv (abs)PDFHTML

Papers citing "On the Statistical Complexity of Estimation and Testing under Privacy Constraints"

6 / 6 papers shown
Title
Privately Learning Smooth Distributions on the Hypercube by Projections
Privately Learning Smooth Distributions on the Hypercube by ProjectionsInternational Conference on Machine Learning (ICML), 2024
Clément Lalanne
Sébastien Gadat
306
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
246
6
0
10 Jun 2024
Concentrated Differential Privacy for Bandits
Concentrated Differential Privacy for Bandits
Achraf Azize
D. Basu
306
8
0
01 Sep 2023
About the Cost of Central Privacy in Density Estimation
About the Cost of Central Privacy in Density Estimation
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
219
3
0
26 Jun 2023
Sparsity in neural networks can improve their privacy
Antoine Gonon
Léon Zheng
Clément Lalanne
Quoc-Tung Le
Guillaume Lauga
Can Pouliquen
206
2
0
20 Apr 2023
Private Statistical Estimation of Many Quantiles
Private Statistical Estimation of Many QuantilesInternational Conference on Machine Learning (ICML), 2023
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
227
6
0
14 Feb 2023
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