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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
2011-02-04.
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Subjects: | |
Online Access: | Get fulltext Get fulltext |