Asynchronous Optimization Over Heterogeneous Networks via Consensus ADMM.
IEEE Transactions on Signal and Information Processing over Networks(2017)
摘要
This paper considers the distributed optimization of a sum of locally observable, nonconvex functions. The optimization is performed over a multiagent networked system, and each local function depends only on a subset of the variables. An asynchronous and distributed alternating directions method of multipliers (ADMM) method that allows the nodes to defer or skip the computation and transmission o...
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关键词
Algorithm design and analysis,Distributed algorithms,Convergence,Multi-agent systems,Optimization,Cost function
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