@inproceedings{3a6748454e64461996908566917e0f06,
title = "A stochastic primal-dual algorithm for distributed asynchronous composite optimization",
abstract = "Consider a network where each agent has a private composite function (e.g. the sum of a smooth and a non-smooth function). The problem we address here is to And a minimize! of the aggregate cost (the sum of the agents functions) in a distributed manner. In this paper, we combine recent results on primal-dual optimization and coordinate descent to propose an asynchronous distributed algorithm for composite optimization.",
keywords = "Consensus algorithms, Coordinate descent, Distributed optimization, Primal-dual algorithm",
author = "Pascal Bianchi and Walid Hachem and Franck Iutzeler",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 ; Conference date: 03-12-2014 Through 05-12-2014",
year = "2014",
month = feb,
day = "5",
doi = "10.1109/GlobalSIP.2014.7032215",
language = "English",
series = "2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "732--736",
booktitle = "2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014",
}