Original paper
Diffusion networks outperform consensus networks
Published: Aug 1, 2012
Abstract
Adaptive networks consist of a collection of nodes that interact with each other on a local level and diffuse information across the network to solve estimation and inference tasks in a distributed manner. In this work, we compare the performance of two distributed estimation strategies: diffusion and consensus. Diffusion strategies allow information to diffuse more thoroughly through the network. The analysis in the paper confirms that this...
Paper Details
Title
Diffusion networks outperform consensus networks
Published Date
Aug 1, 2012
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