@inproceedings{c19304fa12cd46a382a635903d1f785e,
title = "Asynchronous distributed optimization using a randomized alternating direction method of multipliers",
abstract = "Consider a set of networked agents endowed with private cost functions and seeking to find a consensus on the minimizer of the aggregate cost. A new class of random asynchronous distributed optimization methods is introduced. The methods generalize the standard Alternating Direction Method of Multipliers (ADMM) to an asynchronous setting where isolated components of the network are activated in an uncoordinated fashion. The algorithms rely on the introduction of randomized Gauss-Seidel iterations of Douglas-Rachford splitting leading to an asynchronous algorithm based on the ADMM. Convergence to the sought minimizers is provided under mild connectivity conditions.",
author = "Franck Iutzeler and Pascal Bianchi and Philippe Ciblat and Walid Hachem",
year = "2013",
month = jan,
day = "1",
doi = "10.1109/CDC.2013.6760448",
language = "English",
isbn = "9781467357173",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3671--3676",
booktitle = "2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013",
note = "52nd IEEE Conference on Decision and Control, CDC 2013 ; Conference date: 10-12-2013 Through 13-12-2013",
}