Nicolò Romandini

According to our database, Nicolò Romandini authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks.

Nicolò Romandini, Cristian Borcea, Rebecca Montanari, Luca Foschini

CoRR, August, 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., July, 2025

CrawLLMentor: An LLM-Powered Tool to Assist Pen Testers in Identifying Business Logic Vulnerabilities.

Nicolò Romandini, Luca Capacci, Rebecca Montanari

Proceedings of the Joint National Conference on Cybersecurity (ITASEC & SERICS 2025), 2025

2024

Enabling Federated Learning at the Edge through the IOTA Tangle.

Carlo Mazzocca, Nicolò Romandini, Rebecca Montanari, Paolo Bellavista

Future Gener. Comput. Syst., March, 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

Membership Proof in Federated Learning via Cryptographic Accumulators.

Carlo Mazzocca, Alessio Mora, Nicolò Romandini, Rebecca Montanari, Paolo Bellavista

Proceedings of the 6th International Conference on Blockchain Computing and Applications, 2024

2023

FRAMH: A Federated Learning Risk-Based Authorization Middleware for Healthcare.

Carlo Mazzocca, Nicolò Romandini, Michele Colajanni, Rebecca Montanari

IEEE Trans. Comput. Soc. Syst., August, 2023

P-IOTA: A Cloud-Based Geographically Distributed Threat Alert System That Leverages P4 and IOTA.

Amir Al Sadi, Carlo Mazzocca, Andrea Melis, Rebecca Montanari, Marco Prandini, Nicolò Romandini

Sensors, March, 2023

TruFLaaS: Trustworthy Federated Learning as a Service.

Carlo Mazzocca, Nicolò Romandini, Matteo Mendula, Rebecca Montanari, Paolo Bellavista

IEEE Internet Things J., 2023

Federated Learning Meets Blockchain: a Power Consumption Case Study.

Nicolò Romandini, Carlo Mazzocca, Rebecca Montanari

Proceedings of the 31st Euromicro International Conference on Parallel, 2023

2022

FlowChain: The Playground for Federated Learning in Industrial Internet of Things Environments.

Paolo Bellavista, Luca Foschini, Rebecca Montanari, Nicolò Romandini

IEEE Internet Things Mag., 2022