Commercialization and system architecture of fifth-generation (5G) networks has entered a stable phase and the evolution of 5G networks into...

During the past decade, human beings experienced the prevalence of communication through various digital devices. While we can call the...

Enabling open circulation of training labeled data in industrial environments may improve many machine learning based processes that are currently...

I will present an overview of the results of analyzing mobile phone data to create population mobility models in Cuba....

Data is becoming an indispensable production factor for the modern economy, matching or exceeding in importance traditional factors such as...

There are more and more distributed algorithms specially designed to work on specific graph classes, such as interval graphs or...

Operation of the Internet requires interoperability between networks, systems, and applications, as well as cooperation among a growing number of...

We present a Federated Learning (FL) based solution for building a distributed classifier capable of detecting URLs containing sensitive content,...

The vast majority of machine learning (ML) occurs today in a data center. But there is a very real possibility...

Localization has been mainly an optional feature of cellular networks since they have been designed for communication and many location-based...