Deep neural networks (DNNs) have unleashed a new wave of applications on mobile
devices, such as various intelligent personal assistants. Most of these applications rely on …

Mobile devices have become an essential part of our daily lives. By virtue of both their
increasing computing power and the recent progress made in AI, mobile devices evolved to …

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 …

Most of the research on deep neural networks so far has been focused on obtaining higher
accuracy levels by building increasingly large and deep architectures. Training and …

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

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 deep penetration of mobile devices, more and more mobile deep learning
applications have been widely used in daily life. However, since deep learning tasks are …

Deep learning (DL) has dramatically evolved and become one of the most successful
machine learning techniques. A variety of DL-enabled applications have been widely …

Recent studies have shown the latency and energy consumption of deep neural networks
can be significantly improved by splitting the network between the mobile device and cloud …

Many Deep Neural Network (DNN) based applications have been developed and run on
mobile devices. Although these advanced DNN models can provide better results, they also …