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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results