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

10 June 2024

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

20 / 20 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 high-dimensional and nonparametric distributed testing under communication constraints Botond Szabó Lasse Vuursteen Harry Van Zanten 77 10 0 02 Feb 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 75 100 0 21 Feb 2020
Context-Aware Local Differential Privacy Jayadev Acharya Kallista A. Bonawitz Peter Kairouz Daniel Ramage Ziteng Sun 38 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 63 168 0 12 Feb 2019
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 83 151 0 01 May 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 48 683 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 126 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 86 1,987 0 25 Jul 2014