Comprehensive survey of edge intelligence research: Provides an overview of architectures, frameworks, and key technologies for deep learning at the network edge
Case studies from original research: Illustrates real research problems and implementations, offering practical insights
Second edition with updated content: Incorporates the latest research and trends in edge intelligence
Focus on applications and future directions: Highlights current applications and emerging research opportunities
Scholarly analysis and implementation studies: Explores both theoretical and practical aspects of edge intelligence
Summarized by Shop
Synthesis Lectures on Learning, Networks, and Algorithms: Optimization, Deep Learning, and Applications Lin, Sen; Zhou, Zhi; Zhang, Zhaofeng; Chen, Xu; Zhang, Junshan
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 fo
Author
Lin Sen Zhou Zhi Zhang Zhaofeng Chen Xu Zhang Junshan