The growing demand for running machine learning (ML) services over wireless networks has stimulated the development of new communication paradigms...

Until now, most quantum network deployments have focused primarily on QKD, one of the most mature quantum technologies, where the...

The next generation of satellite networks will operate at unprecedented data rates, reaching beyond 100 Gbps per link to support...

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...