Digital Twin Framework and Federated Learning for Multi-plant Knowledge Sharing in Decision Support for Electric Steelmaking and Beyond
La Metallurgia Italiana - International Journal of the Italian Association for Metallurgy
The processes of electric steelmaking are complex and difficult to control to achieve sustainable production. To strive towards competitiveness and green transformation, steelmakers apply the Electric Arc Furnace (EAF) to circulate scrap into new products.
Federated Learning: A decentralized approach to smarter, safer AI
Project blogpost
Federated Learning represents a transformative shift in how Artificial Intelligence (AI) models are developed and deployed.
End-to-End Security Enforcement on Packet and Optical Transport Providers in Untrustworthy Multi-stakeholder Scenario
25th International Conference on Transparent Optical Networks (ICTON 2025)
This paper introduces a new service and security orchestration solution designed to help operators and security providers establish a trust-based relationship in a multi-stakeholder environment.
Security and Trust in Open and Disaggregated 6G networks
24th International Conference on Transparent Optical Networks (ICTON), Bari (Italy)
Telecommunication networks are undergoing a significant shift from closed and proprietary systems towards open and interoperable networks. This transition allows for greater flexibility and reduced dependence on single providers.
Mixed Approach for Bike Availability Forecast
IADIS International Conference e-Health 2023 (part of MCCSIS 2023)
A proposal for a predictive analysis model for bike-sharing systems based on a mixed model of statistical and machine-learning approaches.The model assumes a Poisson distribution on bike station arrival and departures.