AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A comprehensive overview of lightweight AI techniques for UAV-mounted RIS systems, including Reinforcement Learning (RL), meta-learning, meta-learning, Federated Learning (FL), Multi-Armed Bandits (MAB), and energy-aware optimization are provided.
Model Contrastive Federated Learning bridges the gap between distributed learning theory and practical satellite constraints, offering a scalable solution for real-time ML applications in dynamic space-terrestrial networks.
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