Asynchronous Distributed Method of Multipliers for Constrained Nonconvex Optimization

17 Mar 2018Francesco FarinaAndrea GarulliAntonio GiannitrapaniGiuseppe Notarstefano

This paper addresses a class of constrained optimization problems over networks in which local cost functions and constraints can be nonconvex. We propose an asynchronous distributed optimization algorithm, relying on the centralized Method of Multipliers, in which each node wakes up in an uncoordinated fashion and performs either a descent step on a local Augmented Lagrangian or an ascent step on the local multiplier vector... (read more)

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