This paper presents a novel approach to analyzing trends in federated learning (FL) using
automatic semantic keyword clustering. The authors collected a dataset of FL research …

The integration of federated learning and zero-trust security offers a promising solution for
enhancing wireless communication security. This comprehensive exploration examines the …

In the ever-expanding domain of Internet of Things (IoT) networks, Distributed Denial of
Service (DDoS) attacks represent a significant challenge, compromising the reliability of …

Federated learning (FL) enables clients to train models locally, enhancing privacy by
avoiding data centralization. Traditional FL assumes all clients have adequate resources, an …

Federated learning (FL) is rapidly shaping into a key enabler for large-scale Artificial
Intelligence (AI) where models are trained in a distributed fashion by several clients without …

Smart Car's era ushers in new challenges, some of which are in the field of information
security such as wise cyber-attack prevention. Traditional IDS systems would lose …

In Intelligent Transport Systems (ITSs), Internet of Vehicles (IoV) communications and
computation offloading technology have been introduced to assist with the burdensome …

Unmanned Aerial Vehicles (UAVs) have emerged as transformative technologies with wide
ranging applications, including surveillance, mapping, remote sensing, search and rescue …