Minimax Optimal Procedures for Locally Private Estimation

8 April 2016

Papers citing "Minimax Optimal Procedures for Locally Private Estimation"

20 / 70 papers shown

Title
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy Lin Sun Xiaojun Ye Jun Zhao Chenhui Lu Mengmeng Yang 19 8 0 13 Feb 2020
Minimax optimal goodness-of-fit testing for densities and multinomials under a local differential privacy constraint Joseph Lam-Weil Béatrice Laurent Jean-Michel Loubes 28 8 0 11 Feb 2020
Privacy-Preserving Boosting in the Local Setting Sen Wang J.Morris Chang FedML 17 3 0 06 Feb 2020
Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Shuang Song Kunal Talwar Abhradeep Thakurta 29 83 0 10 Jan 2020
The Power of Factorization Mechanisms in Local and Central Differential Privacy Alex Edmonds Aleksandar Nikolov Jonathan R. Ullman 30 57 0 19 Nov 2019
Differentially Private Meta-Learning Jeffrey Li M. Khodak S. Caldas Ameet Talwalkar FedML 35 106 0 12 Sep 2019
Locally Differentially Private Data Collection and Analysis Teng Wang Jun Zhao Xinyu Yang Xuebin Ren 25 13 0 05 Jun 2019
The Role of Interactivity in Local Differential Privacy Matthew Joseph Jieming Mao Seth Neel Aaron Roth 33 65 0 07 Apr 2019
Local differential privacy: Elbow effect in optimal density estimation and adaptation over Besov ellipsoids C. Butucea A. Dubois Martin Kroll Adrien Saumard 17 43 0 05 Mar 2019
Lower Bounds for Locally Private Estimation via Communication Complexity John C. Duchi Ryan M. Rogers 13 93 0 01 Feb 2019
Mean Estimation from One-Bit Measurements A. Kipnis John C. Duchi MQ 28 6 0 10 Jan 2019
Protection Against Reconstruction and Its Applications in Private Federated Learning Abhishek Bhowmick John C. Duchi Julien Freudiger Gaurav Kapoor Ryan M. Rogers FedML 18 357 0 03 Dec 2018
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information John C. Duchi Feng Ruan 17 50 0 14 Jun 2018
Differentially Private Uniformly Most Powerful Tests for Binomial Data Jordan Awan Aleksandra B. Slavkovic 41 52 0 23 May 2018
Geometrizing rates of convergence under local differential privacy constraints Angelika Rohde Lukas Steinberger 27 10 0 03 May 2018
Geometric Lower Bounds for Distributed Parameter Estimation under Communication Constraints Yanjun Han Ayfer Özgür Tsachy Weissman 40 90 0 23 Feb 2018
Empirical Risk Minimization in Non-interactive Local Differential Privacy: Efficiency and High Dimensional Case Di Wang Marco Gaboardi Jinhui Xu 18 60 0 12 Feb 2018
A Berkeley View of Systems Challenges for AI Ion Stoica D. Song Raluca A. Popa D. Patterson Michael W. Mahoney ... Joseph E. Gonzalez Ken Goldberg A. Ghodsi David Culler Pieter Abbeel 22 199 0 15 Dec 2017
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible Kai Zheng Wenlong Mou Liwei Wang 34 41 0 11 Jun 2017
Optimal Schemes for Discrete Distribution Estimation under Locally Differential Privacy Min Ye A. Barg 22 178 0 02 Feb 2017