Joint Training and Resource Allocation Optimization for Federated Learning in UAV Swarm

Unmanned aerial vehicles (UAVs) have been widely used to perform search and tracking tasks in military and civil fields. To perform these tasks autonomously, a swarm of multiple UAVs need to be endowed with intelligence through machine learning (ML). However, the traditional centralized ML cannot be...

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Veröffentlicht in:	IEEE internet of things journal Jg. 10; H. 3; S. 2272 - 2284
Hauptverfasser:	Shen, Yun, Qu, Yuben, Dong, Chao, Zhou, Fuhui, Wu, Qihui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Algorithms Autonomous aerial vehicles Bandwidths Convergence Energy budget Energy consumption Fairness Federated learning federated learning (FL) Integer programming Intelligence Machine learning Mixed integer Network latency Optimization Resource allocation Resource management Task analysis Training training optimization unmanned aerial vehicle (UAV) swarm Unmanned aerial vehicles
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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