Federated learning (FL) enables collaborative training of a shared model on edge devices
while maintaining data privacy. FL is effective when dealing with independent and …

Artificial Intelligence (AI) applications have been established in the mobile industry and are
decisively determining the progress in entrepreneurial value creation. This article explores …

Abstract In Internet of Things (IoT), numerous nodes produce huge volumes of data that are
the subject of various processing tasks. Tasks execution on top of the collected data can be …

Edge intelligence is emerging as a new interdiscipline to accelerate the convergence of
artificial intelligence (AI) and Internet of Things (IoT). By applying edge computing, edge …

The Internet of Things (IoT) is a new paradigm where anything can be connected to Internet
using heterogeneous networks; they have an unstable structure according to the constraint …

Research community has already revealed the challenges of data processing when
performed at the Cloud that may affect the performance of any desired application. The main …

Edge Computing (EC) emerges as an alternative to process the large volume of data
generated by devices connected to the Internet, through the Internet of Things (IoT). This …

The Multi-access edge computing (MEC) server would provide context-aware capabilities.
When edge computing uses high-quality computing performance to supplement edge …

Edge computing is a promising technology to empower the Internet of Things (IoT) by
providing additional processing ability, where the tasks can be offloaded to the edge servers …

Internet of Things (IoT) networks are increasingly used for edge data analytics, ie, collecting
and analyzing data at the network edge. However, the IoT devices are typically resource …