Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods

IEEE Transactions on Control of Network Systems(2021)

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摘要
In this article, we study the problem of minimizing the sum of potentially nondifferentiable convex cost functions with partially overlapping dependences in an asynchronous manner, where communication in the network is not coordinated. We study the behavior of an asynchronous algorithm based on dual decomposition and block coordinate subgradient methods under assumptions weaker than those used in ...
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关键词
Convergence,Cost function,Approximation algorithms,Optimized production technology,Gradient methods,Convex functions,Australia
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