Deep learning (DL) applications have attracted significant attention with the rapidly growing
demand for Internet of Things (IoT) systems. However, performing the inference tasks for DL …

With the rapid growth in the demand for internet-of-things (IoT) systems such as factory of
future, smart home, smart city, long-term healthcare, deep learning (DL) applications have …

In the era of beyond 5G technology, it is expected that more and more applications can use
deep neural network (DNN) models for different purposes with minimum inference time …

Recently, we have witnessed the evolution of Edge Computing (EC) and Deep Learning
(DL) serving Industrial Internet of Things (IIoT) applications, in which executing DL models is …

Recently, computer vision applications based on deep neural networks (DNN) have
developed rapidly. They are expected to be used in Internet-of-Things (IoT) systems such as …

With the rapid development of deep learning technology, the modern Internet-of-Things (IoT)
cameras have very high demands on communication, computing, and memory resources so …

Deep learning technologies are empowering IoT devices with an increasing number of
intelligent services. However, the contradiction between resource-constrained IoT devices …

The distributed deep learning architecture can support the front-deployment of deep
learning systems in resource constrained Internet of Things devices and is attracting …

The Internet-of-Things (IoT) is growing in importance enabling an increasing number of
scientific, industrial, and societal applications. At the same time, the computational …

With the revolution of smart industry, more and more Industrial Internet of Things (IIoT)
devices as well as AI algorithms are deployed to achieve industrial intelligence. While …