Democratized Learning Enabling Multi-Level Digital Twin Model Integration. - Benedetta Picano; Marco Becattini; Laura Carnevali; Enrico Vicario (ETFA, 2024)

Quantitative evaluation of software rejuvenation of a pool of service replicas. - Leonardo Scommegna; Marco Becattini; Giovanni Fontani; Leonardo Paroli; Enrico Vicario (ISSRE (Workshops), 2024)

Empirical Application Insights on Industrial Data and Service Aspects of Digital Twin Networks. - Marco Becattini; Davide Borsatti; Armir Bujari; Laura Carnevali; Andrea Garbugli; Hrant Khachatrian; Theofanis P. Raptis; Daniele Tarchi (MeditCom, 2024)

Dynamic MEC resource management for URLLC in Industry X.0 scenarios: a quantitative approach based on digital twin networks. - Marco Becattini; Laura Carnevali; Giovanni Fontani; Leonardo Paroli; Leonardo Scommegna; Maryam Masoumi; Ignacio de Miguel; Fabrizio Brasca (MetroInd4.0 & IoT, 2024)

Digital Twin Networks for Sustainable In-network Computing in Future 6G Networks. - Marco Becattini; Giovanni Fontani; Leonardo Paroli; Antonio Iera (PIMRC, 2024)

Network Digital Twins: A Systematic Review. - Roberto Verdecchia; Leonardo Scommegna; Benedetta Picano; Marco Becattini; Enrico Vicario (IEEE Access, 2024)

SALLMA: A Software Architecture for LLM-Based Multi-Agent Systems. - Marco Becattini; Roberto Verdecchia; Enrico Vicario (SATrends@ICSE, 2025)