Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms

6 June 2018

Xueru Zhang

Mohammad Mahdi Khalili

M. Liu

FedML

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Papers citing "Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms"

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Title
Federated PCA on Grassmann Manifold for IoT Anomaly Detection Tung-Anh Nguyen Long Tan Le Tuan Dung Nguyen Wei Bao Suranga Seneviratne Choong Seon Hong N. H. Tran 62 11 0 10 Jul 2024
Asymptotically Fair and Truthful Allocation of Public Goods Pouya Kananian Arnesh Sujanani Seyed Majid Zahedi 9 0 0 24 Apr 2024
Differentially Private Decentralized Optimization with Relay Communication Luqing Wang Luyao Guo Shaofu Yang Xinli Shi 57 0 0 21 Dec 2022
Differentially Private ADMM-Based Distributed Discrete Optimal Transport for Resource Allocation Jason Hughes Juntao Chen OT 44 1 0 30 Nov 2022
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression Xinlin Leng Chenxu Li Weifeng Xu Yuyan Sun Hongtao Wang FedML 49 1 0 16 Sep 2022
Exact Penalty Method for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 64 1 0 23 Aug 2022
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging Edwige Cyffers Mathieu Even A. Bellet Laurent Massoulié FedML 138 26 0 10 Jun 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 84 17 0 03 May 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 102 9 0 19 Dec 2021
Communication-Efficient ADMM-based Federated Learning Shenglong Zhou Geoffrey Ye Li FedML 115 23 0 28 Oct 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 60 20 0 26 Oct 2021
Encrypted Distributed Lasso for Sparse Data Predictive Control A. Alexandru Anastasios Tsiamis George J. Pappas 74 10 0 23 Apr 2021
Privacy-preserving Decentralized Aggregation for Federated Learning Beomyeol Jeon S. Ferdous Muntasir Raihan Rahman A. Walid FedML 139 60 0 13 Dec 2020
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 130 41 0 09 Dec 2020
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms Qiongxiu Li Jaron Skovsted Gundersen Richard Heusdens M. G. Christensen 76 33 0 02 Sep 2020
Analog Lagrange Coded Computing M. Soleymani Hessam Mahdavifar A. Avestimehr 106 50 0 19 Aug 2020
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning Jiahao Ding Jingyi Wang Guannan Liang J. Bi Miao Pan 48 12 0 11 Aug 2020
Privacy-Preserving Distributed Learning in the Analog Domain M. Soleymani Hessam Mahdavifar A. Avestimehr 75 18 0 17 Jul 2020
Topology-aware Differential Privacy for Decentralized Image Classification Shangwei Guo Tianwei Zhang Guowen Xu Hanzhou Yu Tao Xiang Yang Liu 85 18 0 14 Jun 2020
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization Farzin Haddadpour Mohammad Mahdi Kamani M. Mahdavi V. Cadambe FedML 87 202 0 30 Oct 2019
Recycled ADMM: Improving the Privacy and Accuracy of Distributed Algorithms Xueru Zhang Mohammad Mahdi Khalili M. Liu FedML 72 24 0 08 Oct 2019
Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization Chen Chen Jaewoo Lee 65 3 0 18 Sep 2019
Differential Privacy for Sparse Classification Learning Puyu Wang Hai Zhang 91 20 0 02 Aug 2019
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation Xin Wang H. Ishii L. Du Peng Cheng Jiming Chen FedML 56 42 0 30 Jul 2019
Learning Privately over Distributed Features: An ADMM Sharing Approach Yaochen Hu Peng Liu Linglong Kong Di Niu FedML 86 32 0 17 Jul 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression Hanlin Tang Xiangru Lian Chen Yu Tong Zhang Ji Liu 91 219 0 15 May 2019
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms Xueru Zhang Mohammad Mahdi Khalili M. Liu 91 30 0 07 Oct 2018
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy Zonghao Huang Rui Hu Yuanxiong Guo Eric Chan-Tin Yanmin Gong FedML 119 198 0 30 Aug 2018