Distributed Gradient Tracking for Unbalanced Optimization With Different Constraint Sets
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DOI: 10.1109/tac.2022.3192316
Abstract: Gradient tracking methods have become popular for distributed optimization in recent years, partially because they achieve linear convergence using only a constant step-size for strongly convex optimization. In this article, we construct a counterexample on… read more here.
Keywords: different constraint; constraint sets; inline formula; gradient tracking ... See more keywords