Diffusion strategies for adaptation and learning over networks: an examination of distributed strategies and network behavior
作者： Ali H. Sayed , Sheng-Yuan Tu , Jianshu Chen , Xiaochuan Zhao , Zaid J. Towfic
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摘要: Nature provides splendid examples of real-time learning and adaptation behavior that emerges from highly localized interactions among agents of limited capabilities. For example, schools of fish are remarkably apt at configuring their topologies almost instantly in the face of danger [1]: when a predator arrives, the entire school opens up to let the predator through and then coalesces again into a moving body to continue its schooling behavior. Likewise, in bee swarms, only a small fraction of the agents (about 5%) are informed, and …
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