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arXiv (Cornell University)
How Clustering Affects the Convergence of Decentralized Optimization over Networks: A Monte-Carlo-based Approach
July 2024 • Mohammadreza Doostmohammadian, Shahaboddin Kharazmi, Hamid R. Rabiee
Decentralized algorithms have gained substantial interest owing to advancements in cloud computing, Internet of Things (IoT), intelligent transportation networks, and parallel processing over sensor networks. The convergence of such algorithms is directly related to specific properties of the underlying network topology. Specifically, the clustering coefficient is known to affect, for example, the controllability/observability and the epidemic growth over networks. In this work, we study the effects of the cluster…
Monte Carlo Method
Cluster Analysis
Computer Science
Mathematics
Artificial Intelligence
Economics
Statistics
Economic Growth