Aerial Access Networks for Federated Learning: Applications and Challenges

Aerial access networks (AANs) and mobile edge computing (MEC) have been considered as key enablers of future networks. In this article, we investigate the application of MEC-empowered AANs (also known as aerial computing) for federated learning (FL), a promising technology for providing private and...

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Bibliographic Details
Published in:IEEE network 2022-05, Vol.36 (3), p.159-166
Main Authors: Pham, Quoc-Viet, Zeng, Ming, Huynh-The, Thien, Han, Zhu, Hwang, Won-Joo
Format: Article
Language:English
Subjects:
Collaborative work
Edge computing
Federated learning
Mobile computing
Multi-access edge computing
Networks
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Summary:Aerial access networks (AANs) and mobile edge computing (MEC) have been considered as key enablers of future networks. In this article, we investigate the application of MEC-empowered AANs (also known as aerial computing) for federated learning (FL), a promising technology for providing private and distributed solutions to mobile edge networks. We first introduce the fundamentals of AANs and FL, and illustrate the potential benefits of aerial FL networks. On this basis, we present important applications of AANs for FL. It is shown that distinctive characteristics such as flexible deployment and high mobility, when exploited cleverly, can provide various benefits for FL-enabled networks. Finally, major challenges and potential directions are highlighted.
ISSN:0890-8044
1558-156X
DOI:10.1109/MNET.013.2100311