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Optimal Rates for Nonparametric Density Estimation under Communication Constraints
21 July 2021
Jayadev Acharya
C. Canonne
Aditya Singh
Himanshu Tyagi
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Papers citing
"Optimal Rates for Nonparametric Density Estimation under Communication Constraints"
9 / 9 papers shown
Title
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
Lasse Vuursteen
33
0
0
02 Nov 2024
Breaking the curse of dimensionality in structured density estimation
Robert A. Vandermeulen
Wai Ming Tai
Bryon Aragam
21
0
0
10 Oct 2024
Privately Learning Smooth Distributions on the Hypercube by Projections
Clément Lalanne
Sébastien Gadat
30
1
0
16 Sep 2024
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
About the Cost of Central Privacy in Density Estimation
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
23
3
0
26 Jun 2023
Private Statistical Estimation of Many Quantiles
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
16
5
0
14 Feb 2023
Continual Mean Estimation Under User-Level Privacy
Anand George
Lekshmi Ramesh
A. V. Singh
Himanshu Tyagi
FedML
29
8
0
20 Dec 2022
On the Statistical Complexity of Estimation and Testing under Privacy Constraints
Clément Lalanne
Aurélien Garivier
Rémi Gribonval
25
7
0
05 Oct 2022
A Few Interactions Improve Distributed Nonparametric Estimation, Optimally
Jingbo Liu
13
3
0
01 Jul 2021
1