@inproceedings{45b27029f14e42cb92b9c01a0f623162,
title = "A Decentralised Asynchronous Optimisation Algorithm with an Application to Phase Retrieval",
abstract = "This paper tackles the challenge of decentralised, nonconvex optimisation in situations where agents work asynchronously. Our main contribution is a new algorithm, partially asynchronous ADMM, designed to solve decentralised optimisation problems like phase retrieval. Importantly, it does not require a central coordinator and can work with arbitrary connected network setups. We also prove that our algorithm is equivalent to the randomised block coordinate Douglas-Rachford Splitting method. To illustrate the algorithm's effectiveness, we provide numerical results for the distributed phase retrieval problem, demonstrating its correctness and performance.",
keywords = "Alternating Direction Method of Multipliers, Asynchronous Distributed Optimisation, Douglas-Rachford Splitting, Phase Retrieval",
author = "Behnam Mafakheri and Manton, \{Jonathan H.\} and Iman Shames",
note = "{\textcopyright} 2024 IEEE.; 13rd IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2024 ; Conference date: 08-07-2024 Through 11-07-2024",
year = "2024",
doi = "10.1109/SAM60225.2024.10636375",
language = "English",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
publisher = "IEEE Computer Society",
pages = "1--5",
booktitle = "2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop, SAM 2024",
address = "United States",
}