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UAV-asisted IoT network framework with hybrid deep reinforcement and federated learning

Abstract This paper addresses a critical gap in Unmanned Aerial Vehicle (UAV)-assisted Internet of Things (IoT) networks, where existing works inadequately integrate UAV deployment optimization with privacy-preserving Federated Learning (FL) and adaptive resource allocation under dynamic network con...

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Bibliografische gegevens
Hoofdauteurs: Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos Markakis, Athina Bourdena, George Mastorakis
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Portfolio 2025-10-01
Reeks:Scientific Reports
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Online toegang:https://doi.org/10.1038/s41598-025-21014-5
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