Privacy preserving distributed optimization using homomorphic encryption

1 May 2018

Papers citing "Privacy preserving distributed optimization using homomorphic encryption"

9 / 9 papers shown

Title
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph Yang Lu Zhengxin Yu N. Suri FedML 24 14 0 01 Oct 2022
Secure-by-Construction Synthesis of Cyber-Physical Systems Siyuan Liu Ashutosh Trivedi Xiang Yin Majid Zamani 3DV 30 43 0 14 Feb 2022
Tailoring Gradient Methods for Differentially-Private Distributed Optimization Yongqiang Wang A. Nedić 27 67 0 02 Feb 2022
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning Shuo Liu AI4CE OOD 55 13 0 16 Jun 2021
Encrypted Distributed Lasso for Sparse Data Predictive Control A. Alexandru Anastasios Tsiamis George J. Pappas 9 10 0 23 Apr 2021
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning Hangyu Zhu Rui Wang Yaochu Jin K. Liang Jianting Ning FedML 32 46 0 25 Nov 2020
Encrypted control for networked systems -- An illustrative introduction and current challenges M. S. Darup A. Alexandru Daniel E. Quevedo G. J. Pappas 18 109 0 01 Oct 2020
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption A. Alexandru Konstantinos Gatsis Yasser Shoukry S. Seshia Paulo Tabuada George J. Pappas 31 71 0 07 Sep 2018
The Optimal Mechanism in Differential Privacy: Multidimensional Setting Quan Geng Pramod Viswanath 89 123 0 02 Dec 2013