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We consider stochastic message passing algorithms that limit the communication required for decentralized and distributed convex optimization and provide convergence guarantees on the objective value. We first propose a centralized method that modifies the coordinate-sampling distribution for stochastic coordinate descent, which we call proportional stochastic coordinate descent. This method treats...
Communities are basic units of complex networks and understanding of their structure help us to understand the structure of a network. Communities are groups of nodes that have many links inside and few links outside them. Community detection in a network can be modeled as an optimization problem. We can use some measures such as Modularity and Community Score for evaluating the quality of a partition...
The explosive growth in users' demand in both areas of wireless communications and power generation has led to design of new key technologies that will be dominant in the near future; cognitive radio networks in communications and smart grid in power field. This paper proposes a novel scenario to marry these technologies together by using a cognitive radio ad hoc network (CRAHN) as the foundation...
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