DP-ADMM: ADMM-based Distributed Learning with Differential Privacy

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy

30 August 2018

Yuanxiong Guo

Papers citing "DP-ADMM: ADMM-based Distributed Learning with Differential Privacy"

19 / 69 papers shown

Title
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning Lingjuan Lyu Yitong Li Karthik Nandakumar Jiangshan Yu Xingjun Ma FedML 11 49 0 18 Jul 2020
Scalable Privacy-Preserving Distributed Learning D. Froelicher J. Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 22 68 0 19 May 2020
Differentially Private ADMM for Convex Distributed Learning: Improved Accuracy via Multi-Step Approximation Zonghao Huang Yanmin Gong FedML 19 11 0 16 May 2020
A Critical Overview of Privacy-Preserving Approaches for Collaborative Forecasting Carla Gonccalves R. Bessa Pierre Pinson 36 29 0 20 Apr 2020
Concentrated Differentially Private and Utility Preserving Federated Learning Rui Hu Yuanxiong Guo Yanmin Gong FedML 41 12 0 30 Mar 2020
Privacy-preserving Incremental ADMM for Decentralized Consensus Optimization Yu Ye Hao Chen Ming Xiao Mikael Skoglund H. Vincent Poor 31 28 0 24 Mar 2020
The Cost of Privacy in Asynchronous Differentially-Private Machine Learning F. Farokhi Nan Wu David Smith M. Kâafar FedML 27 0 0 18 Mar 2020
User-Level Privacy-Preserving Federated Learning: Analysis and Performance Optimization Kang Wei Jun Li Ming Ding Chuan Ma Hang Su Bo Zhang H. Vincent Poor FedML 25 11 0 29 Feb 2020
Weighted Distributed Differential Privacy ERM: Convex and Non-convex Yilin Kang Yong Liu Weiping Wang 15 10 0 23 Oct 2019
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms Xueru Zhang Mohammad Mahdi Khalili M. Liu FedML 10 23 0 08 Oct 2019
Privacy-Preserving Obfuscation for Distributed Power Systems Terrence W.K. Mak Ferdinando Fioretto Pascal Van Hentenryck 9 40 0 07 Oct 2019
Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization Chen Chen Jaewoo Lee 23 3 0 18 Sep 2019
Learning Privately over Distributed Features: An ADMM Sharing Approach Yaochen Hu Peng Liu Linglong Kong Di Niu FedML 14 32 0 17 Jul 2019
The Value of Collaboration in Convex Machine Learning with Differential Privacy Nan Wu Farhad Farokhi David B. Smith M. Kâafar FedML 25 96 0 24 Jun 2019
Evaluating Differentially Private Machine Learning in Practice Bargav Jayaraman David Evans 15 7 0 24 Feb 2019
Local Differential Privacy in Decentralized Optimization Hanshen Xiao Ye Yu S. Devadas 14 3 0 16 Feb 2019
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets D. Froelicher J. Troncoso-Pastoriza João Sá Sousa Jean-Pierre Hubaux OOD SyDa 20 48 0 11 Feb 2019
Differentially Private ADMM for Distributed Medical Machine Learning Jiahao Ding Xiaoqi Qin Wenjun Xu Yanmin Gong Zhu Han Miao Pan FedML 37 20 0 07 Jan 2019
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms Xueru Zhang Mohammad Mahdi Khalili M. Liu 34 30 0 07 Oct 2018