6 papers
Feasibility Assessment of Remote Driving via Latency Analysis of ITS-G5 and Cellular Networks in the MASA Living Lab
Gaetano Orazio Cauchi, Antonio Solida, Salvatore Iandolo +8
Remote driving has gained increasing attention as a key enabler for connected and automated vehicles. Yet its practical deployment hinges on wireless networks' ability to guarantee…
The Gaussian-Head OFL Family: One-Shot Federated Learning from Client Global Statistics
Fabio Turazza, Marco Picone, Marco Mamei
Classical Federated Learning relies on a multi-round iterative process of model exchange and aggregation between server and clients, with high communication costs and privacy risks…
Digital Twins & ZeroConf AI: Structuring Automated Intelligent Pipelines for Industrial Applications
Marco Picone, Fabio Turazza, Matteo Martinelli +1
The increasing complexity of Cyber-Physical Systems (CPS), particularly in the industrial domain, has amplified the challenges associated with the effective integration of Artifici…
Blockchain Federated Learning for Sustainable Retail: Reducing Waste through Collaborative Demand Forecasting
Fabio Turazza, Alessandro Neri, Marcello Pietri +3
Effective demand forecasting is crucial for reducing food waste. However, data privacy concerns often hinder collaboration among retailers, limiting the potential for improved pred…
FedBGS: A Blockchain Approach to Segment Gossip Learning in Decentralized Systems
Fabio Turazza, Marcello Pietri, Marco Picone +1
Privacy-Preserving Federated Learning (PPFL) is a Decentralized machine learning paradigm that enables multiple participants to collaboratively train a global model without sharing…
A Multi-Simulation Bridge for IoT Digital Twins
Marco Picone, Samuele Burattini, Marco Melloni +6
The increasing capabilities of Digital Twins (DTs) in the context of the Internet of Things (IoT) and Industrial IoT (IIoT) call for seamless integration with simulation platforms…