Distillation and Ordinary Federated Learning Actor-Critic Algorithms in Heterogeneous UAV-Aided Networks

Distillation and Ordinary Federated Learning Actor-Critic Algorithms in Heterogeneous UAV-Aided Networks

In recent years, there has been growing enthusiasm for employing Unmanned Aerial Vehicles (UAVs) as an innovative technology with significant potential for the next generation of wireless networks. Hence, the Quality of Service (QoS) of clients within the Internet of Things (IoT) infrastructure can...

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Bibliographic Details
Main Authors: Maedeh Nasr-Azadani, Jamshid Abouei, Konstantinos N. Plataniotis
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Distillation federated learning (DFL)
deep reinforcement learning (DRL)
unmanned aerial vehicle (UAV)
Actor-Critic (AC)
multi-agent algorithm
UAVs’ trajectory
Online Access:https://ieeexplore.ieee.org/document/10115415/

Internet

https://ieeexplore.ieee.org/document/10115415/

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