Abstract: We consider the problem of inferring graph topology from smooth graph signals in a novel but practical scenario where data are located in multiple clients and prohibited from leaving local ...
Abstract: We introduce a distributed optimization framework for directed graph networks that addresses composite objective functions with smooth local components and a shared convex regulariser. Our ...
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