Digital Twin and Federated Learning: Enhancing and Securing Critical Infrastructure

oleh: Niccolò DeCarlo, Ciro Romano, Gianluca Granero, Fabrizio D'amico, Enrico Cappelli, Gianluca Fabbri

Format: Article
Diterbitkan: mediaGEO soc. coop. 2024-10-01

Deskripsi

The article explores the integration of the Digital Twin concept with Federated Learning techniques for monitoring critical infrastructure. This approach allows for local data processing and knowledge transfer between different infrastructures, minimizing the amount of data sent to the cloud. Benefits include enhanced data security, operational efficiency, and more proactive maintenance. Through practical examples, it demonstrates how these technologies can revolutionize the management of critical infrastructure.