Videos

This talk precede the talk of Prof. Andrea Araldo "Technical and economic strategies for Multi-Tenant Edge Computing". The evolution of the architecture of Mobile Radio [...]

We consider in this thesis Edge Computing (EC) as a multi-tenant environment  where Net- work Operators (NOs) own edge resources deployed in base stations, central [...]

This talk, which will be the rehearsal of my thesis, addresses resource allocation problems in 5G networks. Our objective is to leverage network slicing (e.g. [...]

Joint Communication and Sensing (JCAS) is a technology aiming at integrating both communication and sensing in one single system. It requires the  reevaluation of network [...]

In-network computing technologies encompass a range of approaches and tools designed to enable computation and data processing within the network infrastructure, such as Network Interface [...]

In the realm of distributed machine learning, a novel approach called Gossip Learning, was presented in 2013 by the paper "Gossip Learning with Linear Models [...]

When you develop a Python project, it is highly recommended that you design it as a Python package, which gives you access to a variety [...]

Reconfigurable Intelligent Surfaces (RIS) technology are a promising physical-layer candidate for sixth-generation (6G) cellular networks. This paper provides a system-level performance assessment of RIS-assisted multi-input [...]

We present the class of projection methods for community detection that generalizes many popular community detection methods. In this framework, we represent each clustering (partition) [...]

Federated learning (FL) is an emerging distributed learning technique, through  which models can be trained using the data collected by user devices in resource-constrained situations [...]