no code implementations • 26 Sep 2017 • Angelia Nedić, Alex Olshevsky, Michael G. Rabbat
In decentralized optimization, nodes cooperate to minimize an overall objective function that is the sum (or average) of per-node private objective functions.
Optimization and Control Distributed, Parallel, and Cluster Computing Multiagent Systems
no code implementations • 28 Mar 2013 • Zhe Yao, Vincent Gripon, Michael G. Rabbat
In this paper we implement a variation of the Gripon-Berrou associative memory on a general purpose graphical processing unit (GPU).
no code implementations • NeurIPS 2012 • Konstantinos Tsianos, Sean Lawlor, Michael G. Rabbat
We study the scalability of consensus-based distributed optimization algorithms by considering two questions: How many processors should we use for a given problem, and how often should they communicate when communication is not free?