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1902.09576
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Privacy-Preserving Average Consensus via State Decomposition
25 February 2019
Yongqiang Wang
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Papers citing
"Privacy-Preserving Average Consensus via State Decomposition"
17 / 17 papers shown
A Weighted Gradient Tracking Privacy-Preserving Method for Distributed Optimization
Furan Xie
Bing Liu
L. Chai
113
0
0
14 Sep 2025
On Model Protection in Federated Learning against Eavesdropping Attacks
Dipankar Maity
Kushal Chakrabarti
FedML
297
2
0
02 Apr 2025
Differentially Private Distributed Nash Equilibrium Seeking over Time-Varying Digraphs
IEEE Transactions on Control of Network Systems (TCNS), 2025
Ying Chen
Qian Ma
305
3
0
13 Feb 2025
A survey on secure decentralized optimization and learning
Changxin Liu
Nicola Bastianello
Wei Huo
Yang Shi
Karl H. Johansson
318
12
0
16 Aug 2024
Design of Stochastic Quantizers for Privacy Preservation
Le Liu
Yutaka Kawano
Ming Cao
174
9
0
05 Mar 2024
Moreau Envelope ADMM for Decentralized Weakly Convex Optimization
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2023
Reza Mirzaeifard
Naveen K. D. Venkategowda
A. Jung
Stefan Werner
208
0
0
31 Aug 2023
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
IEEE Transactions on Automatic Control (TAC), 2023
Ziqin Chen
Yongqiang Wang
337
6
0
25 Jun 2023
Dynamics-Based Algorithm-Level Privacy Preservation for Push-Sum Average Consensus
Huqiang Cheng
Xiao-Fei Liao
Huaqing Li
Qingguo Lü
FedML
309
2
0
17 Apr 2023
Event-triggered privacy preserving consensus control with edge-based additive noise
IEEE Transactions on Automatic Control (TAC), 2023
Limei Liang
Ruiqi Ding
Shuai Liu
53
10
0
19 Mar 2023
A Robust Dynamic Average Consensus Algorithm that Ensures both Differential Privacy and Accurate Convergence
IEEE Conference on Decision and Control (CDC), 2022
Yongqiang Wang
393
6
0
14 Nov 2022
Comparison of encrypted control approaches and tutorial on dynamic systems using LWE-based homomorphic encryption
Junsoo Kim
Dongwoo Kim
Yongsoo Song
Hyun-Seung Shim
H. Sandberg
Karl H. Johansson
190
2
0
11 Oct 2022
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
ACM Transactions on Privacy and Security (TOPS), 2022
Yang Lu
Zhengxin Yu
N. Suri
FedML
329
26
0
01 Oct 2022
Quantization enabled Privacy Protection in Decentralized Stochastic Optimization
IEEE Transactions on Automatic Control (TAC), 2022
Yongqiang Wang
Tamer Basar
159
61
0
07 Aug 2022
Decentralized Stochastic Optimization with Inherent Privacy Protection
IEEE Transactions on Automatic Control (TAC), 2022
Yongqiang Wang
H. Vincent Poor
337
50
0
08 May 2022
Provably Private Distributed Averaging Consensus: An Information-Theoretic Approach
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Mohammad Fereydounian
Aryan Mokhtari
Ramtin Pedarsani
Hamed Hassani
FedML
298
3
0
18 Feb 2022
Algorithm-Level Confidentiality for Average Consensus on Time-Varying Directed Graphs
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Huan Gao
Yongqiang Wang
FedML
250
20
0
02 Jan 2022
Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation
Guilherme Ramos
Antonio Pedro Aguiar
S. Kar
S. Pequito
99
2
0
18 Dec 2021
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