Abstract Mobile Edge Computing (MEC) and Federated Learning (FL) have recently
attracted considerable interest for their potential applications across diverse domains. MEC …

Abstract The Internet of Things (IoT) networks are poised to play a critical role in providing
ultra-low latency and high bandwidth communications in various real-world IoT scenarios …

The integration of machine learning (ML) into material manufacturing has driven
advancements in optimizing biopolymer production processes. ML techniques, applied …

Edge computing, by pushing resources closer to the network's edge, is revolutionizing data
processing, enabling real-time analysis and localized decision-making on resource …

Sensor networks generate vast amounts of data in real-time, which challenges existing
predictive maintenance frameworks due to high latency, energy consumption, and …

Abstract In the Internet of Things (IoT) era, the demand for efficient and responsive
computing systems has surged. Edge computing, which processes data closer to the source …

In recent years, fog computing has become a promising technology that supports
computationally intensive and time-sensitive applications, especially when dealing with …

Vehicular Edge-Cloud Computing (VECC) paradigm has emerged as a viable approach to
overcome the inherent resource limitations of vehicles by offloading computationally …

In the past few years, with the increase in population and health concerns, there has been a
need for efficient health monitoring solutions that can help patients monitor their health …

The geographical distance between the data centers and users brings an obstacle to the
centralized cloud system in serving the demands of the latency-sensitive applications of …