Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices (Edge AI in Future Computing) 1st Edition
Author: Amitoj Singh,Vinay Kukreja,Taghi Javdani Gandomani (Editor)
Publisher Finelybook 出版社：CRC Press; 1st edition (July 29, 2022)
pages 页数：190 pages
This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence.
The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work.
This book explores the following topics:
Edge computing, hardware for edge computing AI, and edge virtualization techniques
Edge intelligence and deep learning applications, training, and optimization
Machine learning algorithms used for edge computing
Reviews AI on IoT Discusses future edge computing needs