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English(EN) Fair Minimum Labeling: Efficient Temporal Network Activations for Reachability and Equity

新的“公平最小标记”问题解决了网络中的资源效率和公平性问题

研究人员引入了公平最小标记(FML)问题,这是一个用于优化网络系统中资源效率和公平性的新框架。FML旨在设计最具成本效益的时序边激活计划,以确保不同节点组能够公平地访问指定的目标集。该问题被证明是NP难的,但已针对特定情况开发了近似算法,实证结果表明其可扩展性和公平性得到了改善。 AI

排序理由 该集群包含一篇介绍新颖问题表述和算法解决方案的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.LG 阅读 →

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新的“公平最小标记”问题解决了网络中的资源效率和公平性问题

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该集群包含一篇介绍新颖问题表述和算法解决方案的学术论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Lutz Oettershagen, Othon Michail ·

    公平最低标签:高效时序网络激活以实现可达性和公平性

    arXiv:2510.03899v3 Announce Type: replace-cross Abstract: Balancing resource efficiency and fairness is critical in networked systems that support modern learning applications. We introduce the \emph{Fair Minimum Labeling} (FML) problem: the task of designing a minimum-cost tempo…