Comprehensive survey of edge intelligence research: Provides an overview of the latest advancements in edge computing and AI integration
Case studies of real research projects: Explores four original research initiatives to illustrate practical applications
Detailed architectural and technological overview: Discusses frameworks and key technologies for deep learning at the network edge
Focus on both theory and implementation: Balances rigorous analysis with realistic project studies
Future research opportunities: Identifies open problems and directions for further exploration
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Synthesis Lectures on Learning, Networks, and Algorithms: Optimization, Deep Learning, and Applications Lin, Sen; Zhou, Zhi; Zhang, Zhaofeng; Chen, Xu; Zhang, Junshan
With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobil
Author
Lin Sen Zhou, Zhi Zhang, Zhaofeng Chen, Junshan Zhang