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Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...
Distributed work is everywhere, yet most leaders are flying blind. The Institute for Corporate Productivity’s recent report, “Leading from Anywhere: Driving Results in the Age of Distributed Work,” ...
Abstract: Compared to traditional centralized clustering, distributed clustering offers the advantage of parallel processing of data from different sites, enhancing the efficiency of clustering while ...