A Continuous-Time Gradient-Tracking Algorithm for Directed Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3417856
Abstract: In this letter, we consider the problem of unconstrained convex optimization over directed networks and design a continuous-time (CT) gradient-tracking dynamics to address it. First, we establish that the optimum of the distributed optimization problem… read more here.
Keywords: directed networks; continuous time; gradient tracking; time gradient ... See more keywords
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
Compressed Gradient Tracking Algorithm for Distributed Aggregative Optimization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3371876
Abstract: This article is devoted to addressing the distributed aggregative optimization (DAO) problem via compressed gradient tracking algorithms, where the cost function of each agent relies on the aggregation of other agents' decisions as well as… read more here.
Keywords: distributed aggregative; gradient tracking; algorithm; compressed gradient ... See more keywords
Quantized Zeroth-Order Gradient Tracking Algorithm for Distributed Nonconvex Optimization Under Polyak–Łojasiewicz Condition
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2024.3384924
Abstract: This article focuses on distributed nonconvex optimization by exchanging information between agents to minimize the average of local nonconvex cost functions. The communication channel between agents is normally constrained by limited bandwidth, and the gradient… read more here.
Keywords: zeroth order; gradient tracking; distributed nonconvex; gradient ... See more keywords
Privacy-Preserving Economic Dispatch in Microgrids via Robust Gradient-Tracking Over Directed Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2025.3599207
Abstract: Existing differentially private optimization algorithms for the distributed economic dispatch problem (EDP) often involve a trade-off between privacy performance and optimization accuracy. This paper presents a robust gradient-tracking based differentially private distributed algorithm to enhance… read more here.
Keywords: economic dispatch; gradient tracking; privacy; robust gradient ... See more keywords
A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2024.3402354
Abstract: This paper investigates the distributed consensus optimization over a class of nabla fractional multi-agent systems (nFMASs). The proposed approach, built upon conventional gradient tracking techniques, addresses the specificity of the studied system by introducing a… read more here.
Keywords: agent systems; fractional multi; multi agent; 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
Distributed Gradient Tracking for Differentially Private Multi-Agent Optimization With a Dynamic Event-Triggered Mechanism
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2024.3357253
Abstract: Distributed optimization achieves a minimized objective function through collaboration among distributed agents. Considering limited communication capabilities and privacy concerns, this article proposes a dynamic event-triggered differentially private gradient-tracking algorithm for distributed optimization. The communication requirement… read more here.
Keywords: event triggered; gradient tracking; event; differentially private ... See more keywords
Gradient-Tracking Generalized Vertical Coordinate for Ocean Models: Results of Idealized Experiments Using the Regional Oceanic Modeling System (v3.7)
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse12122249
Abstract: A gradient-tracking generalized vertical coordinate (GT) for ocean models is proposed in the study. The movement of the grid height surfaces is based on a simple Arbitrary Lagrangian–Eulerian (ALE) method ensuring that the discrete representation… read more here.
Keywords: gradient tracking; vertical coordinate; tracking generalized; generalized vertical ... See more keywords