Blockchain technology has been an emerging solution to various problems in the healthcare
sector. Its applications in the healthcare sector range from securing patient data to …

The development of cloud, fog, and edge computing has led to great advances in reducing
latency and saving bandwidth, and these methods have therefore been broadly applied in …

Major nations across the globe are increasingly concerned about the rising trends in carbon
dioxide (CO 2) emissions, particularly in societies of varying scales. Against this backdrop …

With the proliferation of sensor networks in urban areas, vast amounts of data from location-
based social network platforms are now available, thus enabling the stakeholders to …

Consumer electronic devices often involve processing and analyzing a large amount of user
personal data. Nevertheless, owing to apprehensions regarding privacy and security, users …

Traffic Classification (TC) has been applied to a wide range of applications, from security
monitoring to quality of service (QoS) provisioning in network Internet Service Providers …

In the rapidly evolving landscape of the Internet of Things (IoT), concerns about privacy and
security have become significant as interconnected devices communicate and collaborate …

Distributed Collaborative Machine Learning (DCML) has emerged in artificial intelligence-
empowered edge computing environments, such as the Industrial Internet of Things (IIoT), to …

Convolutional neural networks can automatically learn features via deep network
architectures and given input samples. However, robustness of obtained models may have …

In the Internet of Things (IoT) era, the pervasive application of tremendous end devices puts
forth an unprecedented demand for data processing. To address this challenge, the end …