Resource Efficient Asynchronous Federated Learning for Digital Twin Empowered IoT Network

As an emerging technology, digital twin (DT) can provide real-time status and dynamic topology mapping for Internet of Things (IoT) devices. However, DT and its implementation within industrial IoT networks necessitates substantial, distributed data support, which often leads to ``data silos'&#...

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Veröffentlicht in:	arXiv.org 2024-08
Hauptverfasser:	Chu, Shunfeng, Li, Jun, Wang, Jianxin, Ni, Yiyang, Kang, Wei, Chen, Wen, Shi, Jin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Closed form solutions Digital mapping Digital twins Energy consumption Federated learning Internet of Things Machine learning Multiple objective analysis Network latency Optimization Power control Real time Resource scheduling Topology
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