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• W4314947466 abstract "In this paper, we solve the resource allocation problem over a network of agents, with edges as communication links that can be unidirectional. The goal is to minimize the sum of allocation cost functions subject to a coupling constraint in a distributed way by using the finite-time consensus-based alternating direction method of multipliers (ADMM) technique. In contrast to the existing gradient descent (GD) based distributed algorithms, our approach can be applied to non-differentiable cost functions. Also, the proposed algorithm is initialization-free and converges at a rate of $mathcal{O}left( {1/k} right)$, where k is the optimization iteration counter. The fast convergence performance related to iteration counter k compared to state-of-the-art GD based algorithms is shown via a simulation example." @default.
• W4314947466 created "2023-01-10" @default.
• W4314947466 creator A5000676115 @default.
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• W4314947466 date "2022-12-06" @default.
• W4314947466 modified "2023-09-30" @default.
• W4314947466 title "Distributed Resource Allocation via ADMM over Digraphs" @default.
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• W4314947466 doi "https://doi.org/10.1109/cdc51059.2022.9993326" @default.
• W4314947466 hasPublicationYear "2022" @default.
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