Diffusion Adaptation Over Networks*
Ali H. Sayed, Electrical Engineering Department, University of California at Los Angeles, USA, sayed@ee.ucla.edu
Abstract
Adaptive networks are well-suited to perform decentralized information processing and optimization tasks and to model various types of self-organized and complex behavior encountered in nature. Adaptive networks consist of a collection of agents with processing and learning abilities. The agents are linked together through a connection topology, and they cooperate with each other through local interactions to solve distributed optimization, estimation, and inference problems in real-time. The continuous diffusion of information across the network enables agents to adapt their ...
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