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Spatio-temporal diffusion mechanisms for adaptation over networks

机译:网络适​​应的时空扩散机制

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This work develops diffusion algorithms for adaptation over networks that endow nodes with both cooperation abilities and temporal processing abilities. Each node is allowed to share information locally with its neighbors. At the same time, each node filters past data and uses them to enhance the collaborative process. In this manner, the resulting algorithms consist of three stages: adaptation, spatial processing, and temporal processing. The order of these operations can be inter-changed leading to a total of six variations. The results indicate that the version that performs adaptation prior to the steps of spatial cooperation and temporal processing leads to best performance.
机译:这项工作开发了用于在网络上进行适配的扩散算法,该算法赋予节点协作能力和时间处理能力。允许每个节点与其邻居在本地共享信息。同时,每个节点都过滤过去的数据,并使用它们来增强协作过程。以这种方式,得到的算法包括三个阶段:适应,空间处理和时间处理。这些操作的顺序可以互换,从而共有六种变化。结果表明,在空间协作和时间处理步骤之前执行适应的版本会导致最佳性能。

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