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A Comprehensive Survey on Artificial Intelligence Empowered Edge Computing on Consumer Electronics

Jia-Hao SyuDepartment of Computer Science and Information Engineering, National Taiwan University, Taipei, TaiwanJerry Chun‐Wei LinDepartment of Distributed Systems and Informatics Devices, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, PolandGautam SrivastavaDepartment of Mathematics and Computer Science, Brandon University, Brandon, CanadaKeping YuGraduate School of Science and Engineering, Hosei University, Tokyo, Japan
2023en
ABI

Аннотация

The Internet revolution and Moore’s Law drove the rapid expansion of connected consumer electronics. As massive data is generated by Internet of Things (IoT) devices, edge computing has been developed and applied in consumer electronics to provide agile and real-time services. In this paper, we provide an overview of artificial intelligence (AI)-empowered edge computing in consumer electronics. We start with the background of consumer electronics and artificial intelligence and outline key characteristics and challenges, which are used to evaluate the state of research in smart homes, smart buildings, smart healthcare, and intelligent diagnosis. The evaluation shows that research in AI-empowered edge computing for consumer electronics has mainly focused on latency, robustness, and reliability over the past 5 years. However, explainability and load balancing are mentioned less and have great potential for future research. Although AI-empowered edge computing for consumer electronics is a thriving and widely used research area, there are still many unsolved problems and challenges that researchers can address.

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