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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Autors principals:	Chun Zhu, Ying Shi, Haitao Zhao, Keqi Chen, Tianyu Zhang, Chongyu Bao
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-02-01
Col·lecció:	Sensors
Matèries:	emergency communication UAV-assisted communication federated learning client selection fairness enhancement multi-armed bandit (MAB)
Accés en línia:	https://www.mdpi.com/1424-8220/24/5/1599
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