By deploying machine-learning algorithms at the network edge, edge learning can leverage
the enormous real-time data generated by billions of mobile devices to train AI models …

By deploying machine learning algorithms at the network edge, edge learning recently
emerges as a promising framework to support intelligent mobile services. It effectively …

The 5G network connecting billions of Internet of things (IoT) devices will make it possible to
harvest an enormous amount of real-time mobile data. Furthermore, the 5G virtualization …

Machine learning (ML) is a promising enabler for the fifth-generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

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 …

Machine learning (ML) is a promising enabler for the fifth generation (5G) communication
systems and beyond. By imbuing intelligence into the network edge, edge nodes can …

With the prevalence of intelligent mobile applications, edge learning is emerging as a
promising technology for powering fast intelligence acquisition for edge devices from …

While high accuracy is of paramount importance for deep learning (DL) inference, serving
inference requests on time is equally critical but has not been carefully studied especially …

By implementing machine learning at the network edge, edge learning trains models by
leveraging rich data distributed at edge devices and in return endow on them capabilities of …

The rich mobile data and edge computing enabled wireless networks motivate to deploy
artificial intelligence (AI) at network edge, known as edge AI, which integrates wireless …