Journal article
Distributed momentum based multi-agent optimization with different constraint sets
- Abstract:
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This paper considers a class of consensus optimization problems over a time-varying communication network wherein each agent can only interact with its neighbours. The target is to minimize the summation of all local and possibly non-smooth objectives in the presence of different constraint sets per agent. To achieve this goal, we propose a novel distributed heavy-ball algorithm that combines the subgradient tracking technique with a momentum term related to history information. This algor...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
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(Preview, Accepted manuscript, pdf, 3.0MB, Terms of use)
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- Publisher copy:
- 10.1109/TAC.2024.3445575
Authors
Bibliographic Details
- Publisher:
- IEEE
- Journal:
- IEEE Transactions on Automatic Control More from this journal
- Publication date:
- 2024-08-19
- Acceptance date:
- 2024-08-12
- DOI:
- EISSN:
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1558-2523
- ISSN:
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0018-9286
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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2021337
- Local pid:
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pubs:2021337
- Deposit date:
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2024-08-12
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2024
- Rights statement:
- © 2024 IEEE
- Notes:
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This is the accepted manuscript version of the article. The final version is available online from IEEE at https://dx.doi.org/10.1109/TAC.2024.3445575. For the purpose of Open Access, K. Margellos has applied a CC BY public copyright licence to any Author Accepted Manuscript (AAM) version arising from this submission.
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