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• W2964260030 abstract "In this paper, we review the parallel and distributed optimization algorithms based on the Alternating Direction Method of Multipliers (ADMM) for solving optimization problems in modern communication networks. We first introduce the canonical formulation of the large-scale optimization problem. Next, we describe the general form of ADMM and then focus on several direct extensions and sophisticated modifications of ADMM from 2-block to N-block settings to deal with the optimization problem. The iterative schemes and convergence properties of each extension/modification are given, and the implementation on large-scale computing facilities is also illustrated. Finally, we numerate several applications in communication networks, such as the security constrained optimal power flow problem in smart grid networks and mobile data offloading problem in Software Defined Networks (SDNs). Index Terms—Alternating Direction Method of Multipliers (ADMM), modern communication networks, big data" @default.
• W2964260030 created "2019-07-30" @default.
• W2964260030 creator A5034016257 @default.
• W2964260030 creator A5063667378 @default.
• W2964260030 date "2015-01-01" @default.
• W2964260030 modified "2023-09-25" @default.
• W2964260030 title "Multi-Block ADMM for Big Data Optimization in Modern Communication Networks" @default.
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• W2964260030 doi "https://doi.org/10.12720/jcm.10.9.666-676" @default.
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