Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
Volume: 60, Issue: 8, Pages: 4289 - 4305
Published: Aug 1, 2012
Abstract
We propose an adaptive diffusion mechanism to optimize a global cost function in a distributed manner over a network of nodes. The cost function is assumed to consist of a collection of individual components. Diffusion adaptation allows the nodes to cooperate and diffuse information in real-time; it also helps alleviate the effects of stochastic gradient noise and measurement noise through a continuous learning process. We analyze the...
Paper Details
Title
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks
Published Date
Aug 1, 2012
Volume
60
Issue
8
Pages
4289 - 4305
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