Federated Learning (FL) enables training over sensitive, distributed data without centralizing it, but the canonical server-based architecture introduces a single...

Modern blockchains execute each block’s transactions strictly in sequence, leaving substantial multi-core hardware potential unused. Yet, safely parallelizing execution is...

Retrieval-Augmented Generation (RAG) grounds large language models in relevant information, but tapping third-party proprietary data remains challenging: providers hesitate to...

The rapid advancement of data-driven technologies and machine learning, particularly with the rise of Generative Artificial Intelligence (GenAI), has intensified...

Do you have doubts about the type and length of your labour contract? Or maybe why getting a work permit...

This PhD thesis addresses the core challenges facing the sustainability and performance of vRANs as they transition from specialized hardware...

This work explores necessary and sufficient system conditions to solve distributed tasks with binary outputs (_i.e._, tasks with output values...

Next generation wireless communication systems are increasingly capable of providing accurate sensing in addition to connectivity. By reusing spectrum and...

En esta actividad, el alumnado asume los roles de Alice, Bob y Eve para descubrir el protocolo BB84 de criptografía...

Madrid is going to be your city for the next few years of your life, and it’s ideal that you...