Riccardo Taiello

21 papers B 1Journal 12Unranked 7
YearRankTypeTitle / Venue / Authors
2026 — conf
Federated Transformer-GNN for Privacy-Preserving Brain Tumor Localization with Modality-Level Explainability.
BIOSTEC (1)
Andrea Protani, Riccardo Taiello, Marc Molina Van De Bosch, Luigi Serio
2026 J jnl
Federated Transformer-GNN for Privacy-Preserving Brain Tumor Localization with Modality-Level Explainability.
CoRR
Andrea Protani, Riccardo Taiello, Marc Molina Van De Bosch, Luigi Serio
2025 J jnl
A Secure and Trustworthy Federated Learning Platform as a Service Model for Stroke Management in European Clinical Centers.
IEEE Access
Diogo Reis Santos, Albert Sund Aillet, Antonio Boiano, Marco Di Gennaro, Riccardo Taiello, Usevalad Milasheuski, Lorenzo Giusti, Matilde Carvalho Costa, Mattia Brambilla, Paolo Cacace, Rodrigo Lopes de Almeida, Simone Buranti, Alessandro E. C. Redondi, Michele Carminati, Monica Nicoli, Sanaz Kianoush, Stefano Savazzi, Stefano Zanero, Luigi Serio
2025 J jnl
Buffalo: A Practical Secure Aggregation Protocol for Asynchronous Federated Learning.
IACR Cryptol. ePrint Arch.
Riccardo Taiello, Clémentine Gritti, Melek Önen, Marco Lorenzi
2025 — conf
Buffalo: A Practical Secure Aggregation Protocol for Buffered Asynchronous Federated Learning.
CODASPY
Riccardo Taiello, Clémentine Gritti, Melek Önen, Marco Lorenzi
2025 J jnl
Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI.
CoRR
Lorenzo Giusti, Ole Anton Werner, Riccardo Taiello, Matilde Carvalho Costa, Emre Tosun, Andrea Protani, Marc Molina, Rodrigo Lopes de Almeida, Paolo Cacace, Diogo Reis Santos, Luigi Serio
2025 — conf
Regional Hausdorff Distance Losses for Medical Image Segmentation.
MLMI@MICCAI
Lisa Guzzi, Maria A. Zuluaga, Riccardo Taiello, Fabien Lareyre, Gilles Di Lorenzo, Sébastien Goffart, Andrea Chierici, Juliette Raffort, Hervé Delingette
2025 — conf
The Interplay Between Explainability and Differential Privacy in Federated Healthcare.
BRIDGE/DeCaF@MICCAI
Marc Molina Van De Bosch, Andrea Protani, Riccardo Taiello, Lorenzo Giusti, Matilde Carvalho Costa, Ioannis Stathopoulos, Efstathios P. Efstathopoulos, Diogo Reis Santos, Miguel Ángel González Ballester, Luigi Serio
2024 — conf
Another Walk for Monchi.
FPS (2)
Riccardo Taiello, Emre Tosun, Alberto Ibarrondo, Hervé Chabanne, Melek Önen
2024 J jnl
Another Walk for Monchi.
IACR Cryptol. ePrint Arch.
Riccardo Taiello, Emre Tosun, Alberto Ibarrondo, Hervé Chabanne, Melek Önen
2024 — conf
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications.
ISIC/iMIMIC/EARTH/DeCaF@MICCAI
Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi
2024 J jnl
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare Applications.
CoRR
Riccardo Taiello, Sergen Cansiz, Marc Vesin, Francesco Cremonesi, Lucia Innocenti, Melek Önen, Marco Lorenzi
2024 J jnl
Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Client Stragglers.
IACR Cryptol. ePrint Arch.
Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi
2024 B conf
Let Them Drop: Scalable and Efficient Federated Learning Solutions Agnostic to Stragglers.
ARES
Riccardo Taiello, Melek Önen, Clémentine Gritti, Marco Lorenzi
2024 J jnl
Privacy preserving image registration.
Medical Image Anal.
Riccardo Taiello, Melek Önen, Francesco Capano, Olivier Humbert, Marco Lorenzi
2024 — —
Privacy-preserving machine learning for large-scale collaborative healthcare data analysis. (Apprentissage automatique sécurisé pour l'analyse collaborative des données de santé à grande échelle).
Riccardo Taiello
2023 J jnl
Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.
CoRR
Francesco Cremonesi, Marc Vesin, Sergen Cansiz, Yannick Bouillard, Irene Balelli, Lucia Innocenti, Santiago Silva, Samy-Safwan Ayed, Riccardo Taiello, Laetitia Kameni, Richard Vidal, Fanny Orlhac, Christophe Nioche, Nathan Lapel, Bastien Houis, Romain Modzelewski, Olivier Humbert, Melek Önen, Marco Lorenzi
2022 — conf
Privacy Preserving Image Registration.
MICCAI (6)
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
2022 J jnl
Privacy Preserving Image Registration.
CoRR
Riccardo Taiello, Melek Önen, Olivier Humbert, Marco Lorenzi
2022 J jnl
Study on transfer learning capabilities for pneumonia classification in chest-x-rays images.
Comput. Methods Programs Biomed.
Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli, Marco Raoul Marini, Riccardo Taiello
2021 J jnl
Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image.
CoRR
Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli, Marco Raoul Marini, Riccardo Taiello