New primal-dual proximal algorithm for distributed optimization
New primal-dual proximal algorithm for distributed optimization
We consider a network of agents, each with its own private cost consisting of the sum of two possibly nonsmooth convex functions, one of which is composed with a linear operator. At every iteration each agent performs local calculations and can only communicate with its neighbors. The goal is to …