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- Publisher Website: 10.1109/TCYB.2023.3267145
- Scopus: eid_2-s2.0-85159711331
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Article: Differentially Private Average Consensus for Networks With Positive Agents
Title | Differentially Private Average Consensus for Networks With Positive Agents |
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Authors | |
Keywords | Average consensus differential privacy multiagent systems (MASs) positive agents |
Issue Date | 1-Jun-2024 |
Publisher | Institute of Electrical and Electronics Engineers |
Citation | IEEE Transactions on Cybernetics, 2024, v. 54, n. 6, p. 3454-3467 How to Cite? |
Abstract | This research paper addresses the problem of achieving differentially private average consensus for multiagent systems (MASs) consisting of positive agents. A novel randomized mechanism is introduced that employs nondecaying positive multiplicative truncated Gaussian noises to maintain the positivity and randomness of the state information over time. A time-varying controller is developed to achieve mean-square positive average consensus, and convergence accuracy is evaluated. The proposed mechanism is shown to preserve $(\epsilon,\delta)$ -differential privacy of MASs, and the privacy budget is derived. Numerical examples are provided to illustrate the effectiveness of the proposed controller and privacy mechanism. |
Persistent Identifier | http://hdl.handle.net/10722/347516 |
ISSN | 2023 Impact Factor: 9.4 2023 SCImago Journal Rankings: 5.641 |
DC Field | Value | Language |
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dc.contributor.author | Wang, Yamin | - |
dc.contributor.author | Lam, James | - |
dc.contributor.author | Lin, Hong | - |
dc.date.accessioned | 2024-09-25T00:30:26Z | - |
dc.date.available | 2024-09-25T00:30:26Z | - |
dc.date.issued | 2024-06-01 | - |
dc.identifier.citation | IEEE Transactions on Cybernetics, 2024, v. 54, n. 6, p. 3454-3467 | - |
dc.identifier.issn | 2168-2275 | - |
dc.identifier.uri | http://hdl.handle.net/10722/347516 | - |
dc.description.abstract | This research paper addresses the problem of achieving differentially private average consensus for multiagent systems (MASs) consisting of positive agents. A novel randomized mechanism is introduced that employs nondecaying positive multiplicative truncated Gaussian noises to maintain the positivity and randomness of the state information over time. A time-varying controller is developed to achieve mean-square positive average consensus, and convergence accuracy is evaluated. The proposed mechanism is shown to preserve $(\epsilon,\delta)$ -differential privacy of MASs, and the privacy budget is derived. Numerical examples are provided to illustrate the effectiveness of the proposed controller and privacy mechanism. | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.relation.ispartof | IEEE Transactions on Cybernetics | - |
dc.subject | Average consensus | - |
dc.subject | differential privacy | - |
dc.subject | multiagent systems (MASs) | - |
dc.subject | positive agents | - |
dc.title | Differentially Private Average Consensus for Networks With Positive Agents | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TCYB.2023.3267145 | - |
dc.identifier.scopus | eid_2-s2.0-85159711331 | - |
dc.identifier.volume | 54 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 3454 | - |
dc.identifier.epage | 3467 | - |
dc.identifier.issnl | 2168-2267 | - |