AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A Unified Metadata Management Framework designed specifically for hybrid cloud data analytics is proposed, which integrates metadata from multiple cloud environments into a cohesive, centralized system that facilitates efficient data management, governance, and analytics.
Experimental results demonstrate that FMDF significantly reduces model complexity while maintaining high predictive accuracy, scalability, robustness, and energy efficiency, making it a promising solution for resource-efficient predictive AI, edge intelligence, federated learning, digital twins, and next-generation int...
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