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Strongly universally consistent nonparametric regression and
  classification with privatised data

Strongly universally consistent nonparametric regression and classification with privatised data

31 October 2020
Thomas B. Berrett
László Gyorfi
Harro Walk
ArXiv (abs)PDFHTML

Papers citing "Strongly universally consistent nonparametric regression and classification with privatised data"

12 / 12 papers shown
Title
Locally Private Nonparametric Contextual Multi-armed Bandits
Locally Private Nonparametric Contextual Multi-armed Bandits
Yuheng Ma
Feiyu Jiang
Zifeng Zhao
Hanfang Yang
Y. Yu
123
0
0
11 Mar 2025
Privately Learning Smooth Distributions on the Hypercube by Projections
Privately Learning Smooth Distributions on the Hypercube by Projections
Clément Lalanne
Sébastien Gadat
72
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
83
3
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
Xiaogang Xu
Zhe Liu
62
3
0
27 May 2024
Locally Private Estimation with Public Features
Locally Private Estimation with Public Features
Yuheng Ma
Ke Jia
Hanfang Yang
103
3
0
22 May 2024
On Rate-Optimal Partitioning Classification from Observable and from
  Privatised Data
On Rate-Optimal Partitioning Classification from Observable and from Privatised Data
Balázs Csanád Csáji
László Gyorfi
Ambrus Tamás
Harro Walk
114
0
0
22 Dec 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
61
3
0
26 Jun 2023
Minimax rate for multivariate data under componentwise local
  differential privacy constraints
Minimax rate for multivariate data under componentwise local differential privacy constraints
Chiara Amorino
A. Gloter
128
2
0
17 May 2023
On rate optimal private regression under local differential privacy
On rate optimal private regression under local differential privacy
László Gyorfi
Martin Kroll
80
8
0
31 May 2022
On robustness and local differential privacy
On robustness and local differential privacy
Mengchu Li
Thomas B. Berrett
Yi Yu
92
26
0
03 Jan 2022
Multivariate density estimation from privatised data: universal
  consistency and minimax rates
Multivariate density estimation from privatised data: universal consistency and minimax rates
László Gyorfi
Martin Kroll
59
4
0
27 Jul 2021
Locally private online change point detection
Locally private online change point detection
Thomas B. Berrett
Yi Yu
61
13
0
22 May 2021
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