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English(EN) Graphon Particle Systems, Part II: Dynamics of Distributed Stochastic Continuum Optimization

新研究探索使用Graphon粒子系统进行分布式优化

研究人员引入了Graphon粒子系统作为一种方法来分析节点连续体中的分布式优化问题。该研究提出了为该 graphon框架设计的随机梯度下降和梯度跟踪算法。该论文为节点状态的二阶矩建立了理论界限,证明了其一致有界性,并在强凸等特定条件下,证明了其收敛到全局成本函数的最小化器。 AI

排序理由 学术论文发表在arXiv上,详细介绍了新的理论算法和分析。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.AI 阅读 →

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

新研究探索使用Graphon粒子系统进行分布式优化

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学术论文发表在arXiv上,详细介绍了新的理论算法和分析。[lever_c_demoted from research: ic=1 ai=0.7]
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  1. arXiv cs.AI TIER_1 English(EN) · Yan Chen, Tao Li, Xiaofeng Zong ·

    Graphon粒子系统,第二部分:分布式随机连续体优化的动力学

    arXiv:2407.02765v4 Announce Type: replace-cross Abstract: We study the distributed optimization problem over a graphon with a continuum of nodes, which is regarded as the limit of the distributed networked optimization as the number of nodes goes to infinity. Each node has a priv…