Making Sense of (Ultra) Low-Cost Flights Vertical Differentiation in Two-Sided Markets. - Luigi Serio; Piero Tedeschi; Giovanni Ursino (Manag. Sci., 2018)

Survey on international standards and best practices for patch management of complex industrial control systems: the critical infrastructure of particle accelerators case study. - Ugo Gentile; Luigi Serio (Int. J. Crit. Comput. Based Syst., 2019)

A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider. - Piero Baraldi; Andrea Castellano; Ahmed Shokry; Ugo Gentile; Luigi Serio; Enrico Zio (Reliab. Eng. Syst. Saf., 2020)

A novel association rule mining method for the identification of rare functional dependencies in Complex Technical Infrastructures from alarm data. - Federico Antonello; Piero Baraldi; Ahmed Shokry; Enrico Zio; Ugo Gentile; Luigi Serio (Expert Syst. Appl., 2021)

Association rules extraction for the identification of functional dependencies in complex technical infrastructures. - Federico Antonello; Piero Baraldi; Ahmed Shokry; Enrico Zio; Ugo Gentile; Luigi Serio (Reliab. Eng. Syst. Saf., 2021)

Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation. - Bernardo Camajori Tedeschini; Stefano Savazzi; Roman Stoklasa; Luca Barbieri; Ioannis Stathopoulos; Monica Nicoli; Luigi Serio (IEEE Access, 2022)

A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data. - Federico Antonello; Piero Baraldi; Enrico Zio; Luigi Serio (IEEE Syst. J., 2022)

A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification. - Luca Barbieri; Stefano Savazzi; Sanaz Kianoush; Monica Nicoli; Luigi Serio (CAMAD, 2023)

Brain MRI Screening Tool with Federated Learning. - Roman Stoklasa; Ioannis Stathopoulos; Efstratios Karavasilis; Efstathios P. Efstathopoulos; Marek Dostál; Milos Kerkovský; Michal Kozubek 001; Luigi Serio (CoRR, 2023)

Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals. - Andrea Protani; Lorenzo Giusti; Chiara Iacovelli; Albert Sund Aillet; Diogo Reis Santos; Giuseppe Reale; Aurelia Zauli; Marco Moci; Marta Garbuglia; Pierpaolo Brutti; Pietro Caliandro; Luigi Serio (HealthCom, 2024)

A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers. - Diogo Reis Santos; Albert Sund Aillet; Antonio Boiano; Usevalad Milasheuski; Lorenzo Giusti; Marco Di Gennaro; Sanaz Kianoush; Luca Barbieri; Monica Nicoli; Michele Carminati; Alessandro E. C. Redondi; Stefano Savazzi; et al. (HealthCom, 2024)

Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation. - Diogo Reis Santos; Andrea Protani; Lorenzo Giusti; Albert Sund Aillet; Pierpaolo Brutti; Luigi Serio (HealthCom, 2024)

Brain MRI Screening Tool with Federated Learning. - Roman Stoklasa; Ioannis Stathopoulos; Efstratios Karavasilis; Efstathios Efstathopoulos; Marek Dostál; Milos Kerkovský; Michal Kozubek 001; Luigi Serio (ISBI, 2024)

A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. - Antonio Boiano; Marco Di Gennaro; Luca Barbieri; Michele Carminati; Monica Nicoli; Alessandro Redondi; Usevalad Milasheuski; Sanaz Kianoush; Stefano Savazzi; Albert Sund Aillet; Diogo Reis Santos; Luigi Serio (WiMob, 2024)

A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications. - Antonio Boiano; Marco Di Gennaro; Luca Barbieri; Michele Carminati; Monica Nicoli; Alessandro Redondi; Stefano Savazzi; Albert Sund Aillet; Diogo Reis Santos; Luigi Serio (CoRR, 2024)

Federated GNNs for EEG-Based Stroke Assessment. - Andrea Protani; Lorenzo Giusti; Albert Sund Aillet; Simona Sacco; Paolo Manganotti; Lucio Marinelli; Diogo Reis Santos; Pierpaolo Brutti; Pietro Caliandro; Luigi Serio (UniReps, 2025)

A Close Look at the Communication Efficiency and the Energy Footprints of Robust Federated Learning in Industrial IoT. - Luca Barbieri; Sanaz Kianoush; Monica Nicoli; Luigi Serio; Stefano Savazzi (IEEE Internet Things J., 2025)