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Fairness Based Energy-Efficient 3D Path Planning of a Portable Access Point: A Deep Reinforcement Learning Approach
Moreover, the user fairness, energy efficiency, and hence the FEE value of the system can be improved by efficiently moving the PAP above the GNs.
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator
Thus, we propose a reactive method for the allocation of wireless resources, that happens dynamically each FL round, and is based on each learner's contribution to the general model.
Machine Learning Methods for Monitoring of Quasi-Periodic Traffic in Massive IoT Networks
One of the central problems in massive Internet of Things (IoT) deployments is the monitoring of the status of a massive number of links.
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