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启用MEC的层次联合学习,用于在IIoT中对资源有意识的设备选择

Hu Tao1,2, Duan Li1, Bin Qiu1

  • 1School of Computer Science and Engineering, Guilin University of Technology, Guilin 541004, China.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

本研究介绍了工业物联网 (IIoT) 中等级联合学习 (HFL) 的设备选择策略,以提高模型融合稳定性. 拟议的方法提高了资源效率和在动态边缘计算环境中的培训稳定性.

关键词:
设备的选择选择设备的选择动力学 动力学 动力学层次化的联合学习 (HFL)事物的工业互联网 (IIoT)资源分配的资源分配.

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