Chapter 9

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 ...

Get Academic Press Library in Signal Processing now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.