MFLCES: Multi-Level Federated Edge Learning Algorithm Based on Client and Edge Server Selection

MFLCES: Multi-Level Federated Edge Learning Algorithm Based on Client and Edge Server Selection

This research suggests a multi-level federated edge learning algorithm by leveraging the advantages of Edge Computing Paradigm. Model aggregation is partially moved from a cloud center server to edge servers in this framework, and edge servers are connected hierarchically depending on where they are...

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Bibliographic Details
Main Authors: Zhenpeng Liu, Sichen Duan, Shuo Wang, Yi Liu, Xiaofei Li
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Electronics
Subjects:
federated learning
edge computing
edge server selection
client selection
Online Access:https://www.mdpi.com/2079-9292/12/12/2689

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