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English(EN) Distributed Fast Fixed-Point Algorithms for Composite Monotone Inclusions over Networks

新的分布式算法加速单调包含求解

研究人员开发了两种新颖的分布式算法,ND-DFFP和NI-DFFP,旨在高效地解决网络上的复杂单调包含问题。这些算法集成了Nesterov型加速与原对偶技术,与现有方法相比提供了更快的收敛速度。在分布式双线性矩阵博弈和虚拟电厂等问题上的数值实验表明,这些新算法具有竞争力且计算效率高。 AI

影响 这些算法可以提高AI和机器学习中分布式优化任务的效率。

排序理由 该集群包含一篇详细介绍新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的分布式算法加速单调包含求解

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该集群包含一篇详细介绍新算法的研究论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Nghia Nguyen-Trung, Ion Necoara, Quoc Tran-Dinh ·

    分布式快速定点算法用于网络上的复合单调包含

    arXiv:2609.14953v1 Announce Type: cross Abstract: This paper aims to develop new and efficient distributed algorithms for solving a class of monotone inclusions, $0 \in \sum_{i=1}^n (G_ix + T_ix)$, over a connected network of $n$ agents, where the single-valued operator $G_i$ and…