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This paper studies distributed solutions for an optimal resource allocation problem over networked systems with connected graph communication topologies. The problem setting consists of a group of agents in a network cooperatively meeting a demand by supplying a resource whose commitment incurs a cost on them. The objective in the optimal resource allocation problem is to obtain a commitment value...
We address the problem of distributed unconstrained convex optimization under separability assumptions, i.e., the framework where each agent of a network is endowed with a local private multidimensional convex cost, is subject to communication constraints, and wants to collaborate to compute the minimizer of the sum of the local costs. We propose a design methodology that combines average consensus...
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