Decentralized edge intelligence : a dynamic resource allocation framework for hierarchical federated learning

Decentralized edge intelligence : a dynamic resource allocation framework for hierarchical federated learning

To enable the large scale and efficient deployment of Artificial Intelligence (AI), the confluence of AI and Edge Computing has given rise to Edge Intelligence, which leverages on the computation and communication capabilities of end devices and edge servers to process data closer to where it is pro...

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Bibliographic Details
Main Authors: Lim, Bryan Wei Yang, Ng, Jer Shyuan, Xiong, Zehui, Jin, Jiangming, Zhang, Yang, Niyato, Dusit, Leung, Cyril, Miao, Chunyan
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Federated Learning
Edge Intelligence
Online Access:https://hdl.handle.net/10356/156035

Internet

https://hdl.handle.net/10356/156035

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