Recent years have witnessed an explosive growth of mobile devices. Mobile devices are
permeating every aspect of our daily lives. With the increasing usage of mobile devices and …

With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Recent years have witnessed an exponential increase in the use of mobile and embedded
devices. With the great success of deep learning in many fields, there is an emerging trend …

Modern mobile applications are benefiting significantly from the advancement in deep
learning, eg, implementing real-time image recognition and conversational system. Given a …

Training deep learning models on mobile devices recently becomes possible, because of
increasing computation power on mobile hardware and the advantages of enhancing user …

Deep learning (DL) has demonstrated great performance in various applications on
powerful computers and servers. Recently, with the advancement of more powerful mobile …

Recent breakthroughs in deep learning and artificial intelligence technologies have enabled
numerous mobile applications. While traditional computation paradigms rely on mobile …

Due to increasing amounts of data and compute resources, the deep learning achieves
many successes in various domains. Recently, researchers and engineers make effort to …

On-device learning is a promising technique for emerging privacy-preserving machine
learning paradigms. However, through quantitative experiments, we find that commodity …

Breakthroughs from the field of deep learning are radically changing how sensor data are
interpreted to extract the high-level information needed by mobile apps. It is critical that the …