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...

“Have you ever felt that our three-dimensional world is only the tip of the iceberg and there exists a much...

Open Interfaces are good for innovation, diversity and competition. I will talk about the merits of Open RAN, the O-RAN...

AI-driven solutions are transforming telecommunications, but their lack of transparency makes them hard to trust. While XAI techniques help explain...

Machine learning, and especially deep learning, are techniques that are truly computationally demanding. This issue becomes even more critical when...

In this talk, I will discuss our current research on Blockchain scalability using Setchain Data-type. Blockchain scalability has been a...