使无罪 发表于 2025-3-21 16:45:15

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闲逛 发表于 2025-3-21 22:32:36

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Magnificent 发表于 2025-3-22 00:33:52

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变形词 发表于 2025-3-22 07:29:49

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STIT 发表于 2025-3-22 09:04:52

https://doi.org/10.1057/9780230253001omentum terms and employs non-uniform step-sizes. This approach can effectively overcome the abovementioned limitations of column-stochastic directed networks in the implementation. The implementation of D-DNGT is straightforward if each node locally chooses a suitable step-size and privately regula

腐蚀 发表于 2025-3-22 16:37:51

https://doi.org/10.1057/9780230253001ctation when each constituent function (smooth) is strongly convex if the constant step-size is less than an explicitly calculated upper constraint. Regarding the current distributed methods, the suggested technique not only has a low computation cost in terms of the overall number of local gradient

腐蚀 发表于 2025-3-22 19:58:15

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FLING 发表于 2025-3-22 21:38:45

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排名真古怪 发表于 2025-3-23 02:12:43

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aqueduct 发表于 2025-3-23 06:00:36

https://doi.org/10.1057/9780230270589orithm, D-DLM, which integrates a distributed gradient tracking method with two momentum terms and non-uniform step-sizes in the update of the Lagrangian multipliers. Next, we give proof that if the maximum step-size and the maximum momentum coefficient are positive and sufficiently small, the D-DLM
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查看完整版本: Titlebook: Distributed Optimization in Networked Systems; Algorithms and Appli Qingguo Lü,Xiaofeng Liao,Shanfu Gao Book 2023 The Editor(s) (if applica