Chelliah
Gebundenes Buch

Model Optimization Methods for Efficient and Edge AI

Federated Learning Architectures, Frameworks and Applications

Herausgeber: Chelliah, Pethuru Raj; Ranganath, Sunku; Nagasubramanian, Gayathri; Colby, Robert; Rahmani, Amir Masoud
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Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applications Model 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 applications of the AI paradigm, including computer vision (CV) and Natural Language Processing (NLP), explaining the nitty-gritty of federated learning (FL) and how the FL method is helping to fulfill AI...