Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
Abstract: This article formulates a predefined-time multiagent approach to distributed nonconvex constrained optimization and tackles the challenges caused by the nonconvexity and nonlinearly coupled ...
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