Federated learning is an emerging machine learning paradigm where clients train models
locally and formulate a global model based on the local model updates. To identify the state …

Edge computing is a distributed computing paradigm such that client data are processed at
the periphery of the network, as close as possible to the originating source. Since the 21st …

In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …

Industry 4.0 will only become a reality through the convergence of Operational and
Information Technologies (OT & IT), which use different computation and communication …

The study systematically reviews the integration of Fog and Edge Computing within
Learning Analytics to enhance data privacy and security in educational settings that use …

Advances in computing have enabled widespread access to pose estimation, creating new
sources of data streams. Unlike mock set-ups for data collection, tapping into these data …

Pervasive Computing has become more personal with the widespread adoption of the
Internet of Things (IoT) in our day-to-day lives. The emerging domain that encompasses …

With the growth of the world, IoT and Cloud computing is becoming very highly sophisticated
technological application widely used in various fields, like medical science, transportation …

The educational context that integrates Learning Analytics processes presents a high
fragility in the data processing. In addition, using analytical technologies in cloud computing …

This paper introduces the new paradigm of Mobile Edge Learning” MEL” that enables the
implementation of realistic distributed machine learning (DML) tasks on wireless edge …