Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality
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DOI: 10.1109/tsipn.2022.3181729
Abstract: We propose a promising framework for distributed sparse optimization based on weakly convex regularizers. More specifically, we pose two distributed optimization problems to recover sparse signals in networks. The first problem formulation relies on statistical… read more here.
Keywords: moreau enhanced; sparse optimization; weakly convex; approximate moreau ... See more keywords