This talk explores how quantum computing can perform Forward Error Correction (FEC), inherent in mobile networks. We introduce Qu4Fec, a...

Hierarchical Inference (HI) has emerged as a promising approach for efficient distributed inference between end devices deployed with small pre-trained...

Ensuring user privacy remains critical in mobile networks, particularly with the proliferation of connected devices and the densification of 5G...

In today’s increasingly distributed computational landscape, cloud gaming has emerged as a transformative entertainment model. Cloud gaming refers to any...

Quantum Key Distribution (QKD) enables secure key exchange by leveraging quantum mechanics to provide theoretically unbreakable security. However, practical deploy...

Deploying Machine Learning (ML) models in the user plane enables line-rate in-network inference, reducing latency and enhancing scalability for tasks...

In this seminar, Serly will present her recent work, accepted in ICMLCN 2025. The exponential growth of mobile data traffic...

In this seminar, Orlando will present his work completed during his research stay at Telefónica, which was accepted at INFOCOM...

Deep Reinforcement Learning (DRL) is a method where an agent, through trial and error, interacts with an environment to gain...

The surge in usage of mobile applications generates a massive volume of traffic data exhibiting unique dynamics that are hard...