Distributed Gradient Tracking for Unbalanced Optimization With Different Constraint Sets
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Automatic Control"
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
A Nesterov-Like Gradient Tracking Algorithm for Distributed Optimization Over Directed Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2960770
Abstract: In this article, we concentrate on dealing with the distributed optimization problem over a directed network, where each unit possesses its own convex cost function and the principal target is to minimize a global cost… read more here.
Keywords: directed networks; nesterov like; like gradient; distributed optimization ... See more keywords