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English(EN) Distributed Optimization via Energy Conservation Laws in Dilated Coordinates

新分布式优化方法利用能量守恒定律

一篇新研究论文介绍了一种利用膨胀坐标下能量守恒定律的新型分布式优化方法。所提出的方法在连续时间模型中实现了目标差距和一致性误差的 O(t^{-2}) 速率,克服了离散化限制。开发了一种双循环技术,以实现具有较低通信成本的 O(k^{-2}) 聚合目标速率,优于现有的分布式方法。 AI

排序理由 该集群包含一篇详细介绍分布式优化新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

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新分布式优化方法利用能量守恒定律

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该集群包含一篇详细介绍分布式优化新方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Kushal Chakrabarti, Mayank Baranwal ·

    通过膨胀坐标中的能量守恒定律进行分布式优化

    arXiv:2409.19279v2 Announce Type: replace-cross Abstract: Continuous-time models can reveal accelerated structures in distributed optimization, but their rates need not survive direct discretization. We introduce a second-order primal--dual flow for smooth convex distributed opti…