Optimal Federated Learning for Nonparametric Regression with
Heterogeneous Distributed Differential Privacy Constraints

Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints

10 June 2024

Abhinav Chakraborty

Lasse Vuursteen

Papers citing "Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints"

19 / 19 papers shown

Title
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning T. Tony Cai Yichen Wang Linjun Zhang 61 18 0 13 Mar 2023
Discrete Distribution Estimation under User-level Local Differential Privacy Jayadev Acharya Yuhan Liu Ziteng Sun 55 16 0 07 Nov 2022
Optimal and Differentially Private Data Acquisition: Central and Local Mechanisms Alireza Fallah A. Makhdoumi Azarakhsh Malekian Asuman Ozdaglar FedML 57 32 0 10 Jan 2022
Optimal Rates for Nonparametric Density Estimation under Communication Constraints Jayadev Acharya C. Canonne Aditya Singh Himanshu Tyagi OT 40 12 0 21 Jul 2021
Learning with User-Level Privacy Daniel Levy Ziteng Sun Kareem Amin Satyen Kale Alex Kulesza M. Mohri A. Suresh FedML 46 90 0 23 Feb 2021
Strongly universally consistent nonparametric regression and classification with privatised data Thomas B. Berrett László Gyorfi Harro Walk 21 16 0 31 Oct 2020
Fisher information under local differential privacy L. P. Barnes Wei-Ning Chen Ayfer Özgür FedML 65 48 0 21 May 2020
Differentially Private Assouad, Fano, and Le Cam Jayadev Acharya Ziteng Sun Huanyu Zhang FedML 52 58 0 14 Apr 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 69 100 0 21 Feb 2020
Context-Aware Local Differential Privacy Jayadev Acharya Kallista A. Bonawitz Peter Kairouz Daniel Ramage Ziteng Sun 35 36 0 31 Oct 2019
Federated Learning for Emoji Prediction in a Mobile Keyboard Swaroop Indra Ramaswamy Rajiv Mathews Kanishka Rao Franccoise Beaufays FedML 46 312 0 11 Jun 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 61 168 0 12 Feb 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 81 151 0 01 May 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 46 683 0 05 Dec 2017
Finite Sample Differentially Private Confidence Intervals Vishesh Karwa Salil P. Vadhan 55 193 0 10 Nov 2017
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy Min Ye A. Barg 70 178 0 02 Feb 2017
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 124 1,895 0 08 Oct 2016
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality M. Braverman A. Garg Tengyu Ma Huy Le Nguyen David P. Woodruff FedML 48 175 0 24 Jun 2015
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 84 1,987 0 25 Jul 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.