Distributed consensus-based multi-agent convex optimization via gradient tracking technique
Journal of the Franklin Institute, pp. 3733-3761, 2019.
This paper considers solving a class of optimization problems over a network of agents, in which the cost function is expressed as the sum of individual objectives of the agents. The underlying communication graph is assumed to be undirected and connected. A distributed algorithm in which agents employ time-varying and heterogeneous step-...更多
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