Unmanned aerial vehicles (UAVs) have recently established their capacity to provide cost-
effective and credible solutions for various real-world scenarios. UAVs provide an immense …

The ultra-low latency requirements of 5G/6G applications and privacy constraints call for
distributed machine learning systems to be deployed at the edge. With its simple yet …

Recent years have witnessed the development and adoption of blockchain technology in
intelligent transportation systems (ITS) because of its authenticity and traceability. However …

Autism spectrum disorder (ASD) presents a neurological and developmental disorder that
has an impact on the social and cognitive skills of children causing repetitive behaviours …

The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …

Blockchain-based federated learning (BCFL) has recently gained tremendous attention
because of its advantages, such as decentralization and privacy protection of raw data …

Abstract Machine learning in medical imaging often faces a fundamental dilemma, namely,
the small sample size problem. Many recent studies suggest using multi-domain data …

Since the first appearance of the World Wide Web, people more rely on the Web for their
cyber social activities. The second phase of World Wide Web, named Web 2.0, has been …

Blockchain technology has rapidly gained popularity, permeating various fields due to its
inherent features of security, transparency, and decentralization. Blockchain-based …

Traditional machine learning approaches often need a central server, where raw datasets or
model updates are trained or aggregated in a centralized way. However, these approaches …