Approximate Projection Methods for Decentralized Optimization With Functional Constraints
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DOI: 10.1109/tac.2017.2778696
Abstract: We consider distributed convex optimization problems that involve a separable objective function and nontrivial functional constraints, such as linear matrix inequalities. We propose a decentralized and computationally inexpensive algorithm, which is based on the concept… read more here.
Keywords: projection methods; decentralized optimization; approximate projection; projection ... See more keywords