Edge Intelligence in the Making: Optimization, Deep Learning, and Applications (Synthesis Lectures on Learning, Networks, and Algorithms)

Edge Intelligence in the Making: Optimization, Deep Learning, and Applications (Synthesis Lectures on Learning, Networks, and Algorithms)

Edge Intelligence in the Making: Optimization, Deep Learning, and Applications (Synthesis Lectures on Learning, Networks, and Algorithms)

by: Sen Lin (Author), Zhi Zhou (Author), Zhaofeng Zhang (Author), Xu Chen (Author), Junshan Zhang (Author)

Publisher: Springer

Edition: Second Edition 2025

Publication Date: 2025-05-11

Language: English

Print Length: 313 pages

ISBN-10: 3031845625

ISBN-13: 9783031845628

Book Description

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edge. The book then provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors’ own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. This second edition incorporates the latest research in this rapidly developing area. The authors also highlight the current applications and future research opportunities for edge intelligence.

Editorial Reviews

This book conducts a comprehensive and detailed survey of the recent research efforts in edge intelligence. The authors first review the background and present motivation for AI running at the network edge. The book then provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors’ own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. This second edition incorporates the latest research in this rapidly developing area. The authors also highlight the current applications and future research opportunities for edge intelligence.

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