Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

With the increasing advancement in the applications of the Internet of Things (IoT), the
integrated Cloud Computing (CC) faces numerous threats such as performance, security …

Federated learning involves training statistical models over remote devices or siloed data
centers, such as mobile phones or hospitals, while keeping data localized. Training in …

With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …

The blockchain technology has revolutionized the digital currency space with the pioneering
cryptocurrency platform named Bitcoin. From an abstract perspective, a blockchain is a …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

Abstract With the Internet of Things (IoT) becoming part of our daily life and our environment,
we expect rapid growth in the number of connected devices. IoT is expected to connect …

Blockchain, as the underlying technology of crypto-currencies, has attracted significant
attention. It has been adopted in numerous applications, such as smart grid and Internet-of …

The vision of Industry 4.0, otherwise known as the fourth industrial revolution, is the
integration of massively deployed smart computing and network technologies in industrial …