Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing

Mobile edge computing (MEC) has been considered as a promising technology to provide seamless integration of multiple application services. Federated learning (FL) is carried out at edge clients in MEC for privacy-preserving training of data processing models. Despite that the edge clients with smal...

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Bibliographic Details
Main Author: Zheng, Jingjing (author)
Other Authors: Li, Kai (author), Tovar, Eduardo (author), Guizani, Mohsen (author)
Format: article
Language:eng
Published: 2021
Subjects:
Client selection
Mobile edge computing
Federated learning
Heuristic algorithm
Online Access:http://hdl.handle.net/10400.22/18259
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/18259

Internet

http://hdl.handle.net/10400.22/18259

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