From the 1 of 5 linked papers with an AI index.
4 papers · 1 filter
An Informativeness-based Clustered Federated Learning Method for Reliable Traffic Prediction in Managed Wi-Fi Networks
Luca Barbieri, Gianluca Fontanesi, Lorenzo Galati Giordano +2
The paper proposes a clustered federated learning framework that selects informative AP clusters using differential entropy to improve Wi‑Fi traffic prediction while reducing commu…
Cluster-Specific Predictive Modeling: A Scalable Solution for Resource-Constrained Wi-Fi Controllers
Gianluca Fontanesi, Luca Barbieri, Lorenzo Galati Giordano +2
This manuscript presents a comprehensive analysis of predictive modeling optimization in managed Wi-Fi networks through the integration of clustering algorithms and model evaluatio…
Target Classification for Integrated Sensing and Communication in Industrial Deployments
Luca Barbieri, Marcus Henninger, Paolo Tosi +4
Integrated Sensing and Communication (ISAC) systems enable cellular networks to jointly operate as communication technology and sense the environment. While opportunities and poten…
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
Luca Barbieri, Stefano Savazzi, Sanaz Kianoush +2
Federated Learning (FL) methods adopt efficient communication technologies to distribute machine learning tasks across edge devices, reducing the overhead in terms of data storage…