Abstract: This paper addresses the nonconvex constrained optimization problem over multi-agent systems, where each agent possesses a nonconvex local objective function and a bounded convex constraint ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
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