The Internet is experiencing a fast expansion at its edges. The wide availability of
heterogeneous resources at the Edge is pivotal in the definition and extension of traditional …

Due to the continuous development of Internet of Things (IoT), the volume of the data these
devices generate are expected to grow dramatically in the future. As a result, managing and …

Edge computing constitutes a promising paradigm of managing and processing the massive
amounts of data generated by Internet of Things (IoT) devices. Data and computation are …

The promise of the compute continuum is to present applications with a flexible and
transparent view of the resources in the Internet of Things–Edge–Cloud ecosystem …

Edge Computing (EC) extends computing functionalities from remote cloud data centers to
the proximity of end-user devices at the network edges, thereby reducing application …

Although current edge and cloud systems offer amazing services that we could not even
dream of a few years ago, end users cannot really benefit from them due to their high …

Multi-access Edge Computing (MEC) is one of the key enablers in 5G, offering to external
parties computing capabilities very close to the end users. To attain this objective, the 5G …

Federated learning is a popular framework that enables harvesting edge resources'
computational power to train a machine learning model distributively. However, it is not …

Edge computing emerges as a promising paradigm for managing and processing the
immense data volumes generated by Internet of Things (IoT) devices. By moving data and …

The highly dynamic and heterogeneous environment that characterizes the edge of the
Cloud/Edge Continuum calls for new intelligent methods for tackling the needs of such a …