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Mar, 2025
正确奖励在联邦学习中的最佳时机
Right Reward Right Time for Federated Learning
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Thanh Linh Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Quoc-Viet Pham
TL;DR
本研究解决了联邦学习中关键学习阶段(CLPs)内低质量贡献对全局模型学习效果的负面影响的问题。我们提出了一种基于时间的激励机制“正确奖励正确时机”(R3T),旨在鼓励客户在关键学习阶段积极参与并分享高质量的模型更新。实验结果表明,该机制显著提高了云的效用,并在多项指标上超越了目前的激励机制基准。
Abstract
Critical Learning Periods
(CLPs) in
Federated Learning
(FL) refer to early stages during which low-quality contributions (e.g., sparse training data availability) can permanently impair the learning performance o
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