Strongly universally consistent nonparametric regression and classification with privatised data

31 October 2020

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

12 / 12 papers shown

Title
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 Clément Lalanne Sébastien Gadat 72 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 83 3 0 10 Jun 2024
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 Yuheng Ma Ke Jia Hanfang Yang 103 3 0 22 May 2024
On Rate-Optimal Partitioning Classification from Observable and from Privatised Data Balázs Csanád Csáji László Gyorfi Ambrus Tamás Harro Walk 116 0 0 22 Dec 2023
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 Chiara Amorino A. Gloter 128 2 0 17 May 2023
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 Mengchu Li Thomas B. Berrett Yi Yu 92 26 0 03 Jan 2022
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 Thomas B. Berrett Yi Yu 61 13 0 22 May 2021