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Joint client–server selection and resource allocation based on split federated learning in Edge-to-Cloud computing environments

delete2025-07-05
delete0
PRE
AI
Y
Yishan Chen
X
Xiangwei Zeng
X
Xiansong Luo
Z
Zhiquan Liu
DOI：10.1016/j.comnet.2025.111502delete
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摘要

摘要

En 中文
• 提出新颖的U形分裂联邦学习训练架构。 • 联合优化客户端-服务器组合和资源分配。 • 提出改进的PPO算法（MSHPPO）以完成该问题。 • 通过仿真结果展示U-SFL和MSHPPO在性能上优于FL和RL。

期刊

Computer Networks 封面图
Computer Networks
IF:
4.6
论文数:
1.8K
被引数:
1.6W

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