Multi-Constrained and Edge-Enabled Selection of UAV Participants in Federated Learning Process

Multi-Constrained and Edge-Enabled Selection of UAV Participants in Federated Learning Process

Unmanned aerial vehicles (UAVs) have gained increasing attention in boosting the performance of conventional networks due to their small size, high efficiency, low cost, and autonomously nature. The amalgamation of UAVs with both distributed/collaborative Deep Learning (DL) algorithms, such as Feder...

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Bibliographic Details
Main Authors: Sofiane Dahmane, Mohamed Bachir Yagoubi, Bouziane Brik, Chaker Abdelaziz Kerrache, Carlos Tavares Calafate, Pascal Lorenz
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Electronics
Subjects:
UAV networks
Federated Deep Learning
UAVs selection
blockchain
edge computing
Online Access:https://www.mdpi.com/2079-9292/11/14/2119

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