Deep learning has achieved great success in many applications. However, its deployment in
practice has been hurdled by two issues: the privacy of data that has to be aggregated …

As the extension of cloud computing and a foundation of IoT, fog computing is experiencing
fast prosperity because of its potential to mitigate some troublesome issues, such as network …

Abstract Internet-of-Things (IoT) devices are rising in popularity and their usefulness often
stems from the amount of data they collect. Data regulations such as the European General …

Edge computing (EC) gets the Internet of Things (IoT)-based face recognition systems out of
trouble caused by limited storage and computing resources of local or mobile terminals …

Recent years have witnessed deep neural networks (DNNs) become the de facto tool in
many applications such as image classification and speech recognition. But significant …

Decentralized paradigm in the field of cybersecurity and machine learning (ML) for the
emerging Internet of Things (IoT) has gained a lot of attention from the government …

With the proliferation of intelligent services and applications authorized by artificial
intelligence, the Internet of Things has penetrated into many aspects of our daily lives, and …

With the dramatically increasing deployment of IoT (Internet-of-Things) and communication,
data has always been a major priority to achieve intelligent healthcare in a smart city. For the …

As the Internet of Things (IoT) applications have been introduced into daily life, privacy
issues have become significant concerns to users, network service providers, device …

Deploying convolutional neural network (CNN) inference on resource-constrained devices
remains a remarkable challenge for Industrial Internet of Things (IIoT). Although the cloud …