研究人员开发了一个名为 SWOT 的新框架，用于改进光网络中分布式机器学习的集体通信。SWOT 通过实现集体内部重构来解决静态拓扑和频繁重构的限制。这种方法将网络资源对齐与数据传输重叠，显著缩短了通信完成时间。 AI
影响 该框架可以显著降低大规模分布式机器学习训练中的通信开销。
排序理由 这是一篇详细介绍用于优化分布式机器学习网络通信新框架的研究论文。
AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →
光网络框架实现更快的分布式机器学习通信
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- 这是一篇详细介绍用于优化分布式机器学习网络通信新框架的研究论文。
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报道来源 [1]
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实现光网络中集体通信的可重构通信重叠
arXiv:2510.19322v3 Announce Type: replace-cross Abstract: Collective communication (CC) is critical for scaling distributed machine learning (DML). The predictable traffic patterns of DML present a great opportunity for applying optical network technologies. Optical networks with…