Distributed Asymptotic Minimization of Sequences of Convex Functions by a Broadcast Adaptive Subgradient Method

We propose a non-hierarchical decentralized algorithm for the asymptotic minimization of possibly time-varying convex functions. In our method, each agent in a network has a private, local (possibly time-varying) cost function, and the objective is to minimize asymptotically the sum of these local f...

Full description

Bibliographic Details
Main Authors: Cavalcante, Renato L. G. (Author), Rogers, Alex (Author), Jennings, Nick (Author), Yamada, Isao (Author)
Format: Article
Language:English
Published: 2011-02-04.
Subjects:
Online Access:Get fulltext
Get fulltext