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 ...

Abstract: This paper constructs an edge weight optimization model based on the frequency of historical data, and determines the weights by counting the occurrence frequency of each edge in the ...