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  • Model Optimization Methods for Efficient and Edge AI

    Federated Learning Architectures, Frameworks and Applications

    Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applicationsModel Optimization Methods for Efficient and Edge AI explores AI model engineering, evaluation, refinement, optimization, and deployment across multiple cloud environments (public, private, edge, and hybrid). It presents key ... Read more

    $124.00 USD