Distributed Subgradient Methods and Quantization Effects

8 Mar 2008Angelia NedićAlex OlshevskyAsuman OzdaglarJohn N. Tsitsiklis

We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objective functions through local computations and communications. For this problem, we use averaging algorithms to develop distributed subgradient methods that can operate over a time-varying topology... (read more)

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