Original paper
Decentralised signal processing on graphs via matrix inverse approximation
Abstract
In the processing of signals defined over graph domains, it is highly desirable to have algorithms that can be implemented in a decentralised manner, whereby each node only needs to exchange information within a localized subgraph of nodes. The most common example is when the subgraph consist of immediate neighbors and this allows for distributed processing. Many graph signal operators, in their original forms, are not amenable to distributed...
Paper Details
Title
Decentralised signal processing on graphs via matrix inverse approximation
Published Date
Dec 1, 2019
Journal
Volume
165
Pages
292 - 302
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Notes
History