@inproceedings{f7bd86abea5c40ccbc41ca7cad31244e,
title = "Distributed Online Composite Optimization with Delayed Feedback",
abstract = "This paper focuses on distributed online composite optimization with feedback delays. Using the delayed feedback and signs of relative states, a distributed online proximal gradient algorithm is proposed and then the performance of this algorithm is evaluated by dynamic regret. Under basic assumptions, a bound on dynamic regret for each agent is established, which is consistent with the existing result in the setting without regularizers. In the end, numerical examples are presented to support the theoretical finding.",
keywords = "delayed feedback, distributed algorithms, dynamic regret, Online composite optimization",
author = "Ruijie Hou and Xiuxian Li and Shangce Gao",
note = "Publisher Copyright: {\textcopyright} 2024 Asian Control Association.; 14th Asian Control Conference, ASCC 2024 ; Conference date: 05-07-2024 Through 08-07-2024",
year = "2024",
language = "英語",
series = "14th Asian Control Conference, ASCC 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "43--47",
booktitle = "14th Asian Control Conference, ASCC 2024",
}