A Fairness-Enhanced Federated Learning Scheduling Mechanism for UAV-Assisted Emergency Communication

A Fairness-Enhanced Federated Learning Scheduling Mechanism for UAV-Assisted Emergency Communication

As the frequency of natural disasters increases, the study of emergency communication becomes increasingly important. The use of federated learning (FL) in this scenario can facilitate communication collaboration between devices while protecting privacy, greatly improving system performance. Conside...

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Bibliographic Details
Main Authors: Chun Zhu, Ying Shi, Haitao Zhao, Keqi Chen, Tianyu Zhang, Chongyu Bao
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
emergency communication
UAV-assisted communication
federated learning
client selection
fairness enhancement
multi-armed bandit (MAB)
Online Access:https://www.mdpi.com/1424-8220/24/5/1599

Internet

https://www.mdpi.com/1424-8220/24/5/1599

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