FlowChain: The Playground for Federated Learning in Industrial Internet of Things Environments. - Paolo Bellavista; Luca Foschini 001; Rebecca Montanari; Nicolò Romandini (IEEE Internet Things Mag., 2022)

Federated Learning Meets Blockchain: a Power Consumption Case Study. - Nicolò Romandini; Carlo Mazzocca; Rebecca Montanari (PDP, 2023)

TruFLaaS: Trustworthy Federated Learning as a Service. - Carlo Mazzocca; Nicolò Romandini; Matteo Mendula; Rebecca Montanari; Paolo Bellavista (IEEE Internet Things J., 2023)

P-IOTA: A Cloud-Based Geographically Distributed Threat Alert System That Leverages P4 and IOTA. - Amir Al Sadi; Carlo Mazzocca; Andrea Melis 001; Rebecca Montanari; Marco Prandini; Nicolò Romandini (Sensors, 2023)

FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare. - Carlo Mazzocca; Nicolò Romandini; Michele Colajanni; Rebecca Montanari (IEEE Trans. Comput. Soc. Syst., 2023)

Membership Proof in Federated Learning via Cryptographic Accumulators. - Carlo Mazzocca; Alessio Mora; Nicolò Romandini; Rebecca Montanari; Paolo Bellavista (BCCA, 2024)

DIVA: A DID-based reputation system for secure transmission in VANETs using IOTA. - Angelo Feraudo; Nicolò Romandini; Carlo Mazzocca; Rebecca Montanari; Paolo Bellavista (Comput. Networks, 2024)

Enabling Federated Learning at the Edge through the IOTA Tangle. - Carlo Mazzocca; Nicolò Romandini; Rebecca Montanari; Paolo Bellavista (Future Gener. Comput. Syst., 2024)

CrawLLMentor: An LLM-Powered Tool to Assist Pen Testers in Identifying Business Logic Vulnerabilities. - Nicolò Romandini; Luca Capacci; Rebecca Montanari (ITASEC/SERICS, 2025)

Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics. - Nicolò Romandini; Alessio Mora; Carlo Mazzocca; Rebecca Montanari; Paolo Bellavista (IEEE Trans. Neural Networks Learn. Syst., 2025)

FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks. - Nicolò Romandini; Cristian Borcea; Rebecca Montanari; Luca Foschini 001 (CoRR, 2025)