Toward an Intelligent Edge: Wireless Communication Meets Machine Learning
University of Hong Kong · National University of Singapore · +1 more institution
Abstract
The recent revival of AI is revolutionizing almost every branch of science and technology. Given the ubiquitous smart mobile gadgets and IoT devices, it is expected that a majority of intelligent applications will be deployed at the edge of wireless networks. This trend has generated strong interest in realizing an "intelligent edge" to support AI-enabled applications at various edge devices. Accordingly, a new research area, called edge learning, has emerged, which crosses and revolutionizes two disciplines: wireless communication and machine learning. A major theme in edge learning is to overcome the limited computing power, as well as limited data, at each edge device. This is accomplished by leveraging the…
Citation impact
- FWCI
- 74.97
- Percentile
- 100%
- References
- 21
Authors
6Topics & keywords
- Computer science
- Edge computing
- Enhanced Data Rates for GSM Evolution
- Edge device
- Wireless
- Wireless network
- Mobile device
- Multimedia