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VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
In this domain, federated learning is one of the most effective and promising techniques for training global machine learning models, while preserving data privacy at the vehicles and optimizing communications resource usage.
Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services
The combination of cloud computing capabilities at the network edge and artificial intelligence promise to turn future mobile networks into service- and radio-aware entities, able to address the requirements of upcoming latency-sensitive applications.
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