Federated learning is a privacy-preserving machine learning technique that trains models
across multiple devices holding local data samples without exchanging them. There are …

The use of Blockchain technology has recently become widespread. It has emerged as an
essential tool in various academic and industrial fields, such as healthcare, transportation …

Recently, unmanned aerial vehicles (UAVs) have gained attention due to increased use-
cases in healthcare, monitoring, surveillance, and logistics operations. UAVs mainly …

New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …

The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …

In this paper, we study a new latency optimization problem for blockchain-based federated
learning (BFL) in multi-server edge computing. In this system model, distributed mobile …

Unmanned aerial vehicles (UAVs) extend the traditional ground-based Internet of Things
(IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by …

Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …

The Internet of Things (IoT) has revolutionized the manufacturing process in the industry. It
has created a new ecosystem allowing a diversified set of devices to be controlled remotely …

While the convergence of Artificial Intelligence (AI) techniques with improved information
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …