RENDA, ALESSANDRO Statistiche
RENDA, ALESSANDRO
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees
2025-01-01 Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.
Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering
2024-01-01 Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio
Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data
2024-01-01 Corcuera Barcena, J. L.; Marcelloni, F.; Renda, A.; Bechini, A.; Ducange, P.
Federated Learning of XAI models in healthcare: a case study on Parkinson's Disease
2024-01-01 Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio
On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data
2024-01-01 Schiavo, Alessio; Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio; Dani, Renzo
Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers
2024-01-01 Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro
An Application for Federated Learning of XAI Models in Edge Computing Environments
2023-01-01 Bechini, Alessio; Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro
Enabling federated learning of explainable AI models within beyond-5G/6G networks
2023-01-01 Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Nardini, Giovanni; Noferi, Alessandro; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio; Stea, Giovanni; Virdis, Antonio
Experimental Assessment of Heterogeneous Fuzzy Regression Trees
2023-01-01 Bárcena, José; Ducange, Pietro; Gallo, Riccardo; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio
Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks
2023-01-01 Corcuera Barcena, J. L.; Daole, M.; Ducange, P.; Marcelloni, F.; Nardini, G.; Renda, A.; Stea, G.
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression
2023-01-01 Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.; Ruffini, F.
Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks
2023-01-01 Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio
OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python
2023-01-01 Daole, M.; Schiavo, A.; Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.
The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G
2023-01-01 Merluzzi, M.; Borsos, T.; Rajatheva, N.; Benczur, A. A.; Farhadi, H.; Yassine, T.; Mueck, M. D.; Barmpounakis, S.; Strinati, E. C.; Dampahalage, D.; Demestichas, P.; Ducange, P.; Filippou, M. C.; Baltar, L. G.; Haraldson, J.; Karacay, L.; Korpi, D.; Lamprousi, V.; Marcelloni, F.; Mohammadi, J.; Rajapaksha, N.; Renda, A.; Uusitalo, M. A.
Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project
2023-01-01 Ducange, P.; Marcelloni, F.; Micheli, D.; Nardini, G.; Renda, A.; Sabella, D.; Stea, G.; Virdis, A.
A News-based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting
2022-01-01 Bechini, Alessio; Bondielli, Alessandro; Bárcena, José Luis Corcuera; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro
An Approach to Federated Learning of Explainable Fuzzy Regression Models
2022-01-01 CORCUERA BÁRCENA, JOSÉ LUIS; Ducange, Pietro; Ercolani, Alessio; Marcelloni, Francesco; Renda, Alessandro
Artificial Intelligence in beyond 5G and 6G Wireless Networks-Preface
2022-01-01 Renda, A.; Ducange, P.; Borsos, T.; Flinck, H.
Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models
2022-01-01 CORCUERA BÁRCENA, JOSÉ LUIS; Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio
Federated Learning of eXplainable AI models in 6G systems: Towards secure and automated vehicles networking
2022-01-01 Renda, Alessandro; Ducange, Pietro; Marcelloni, Francesco; Sabella, Dario; Filippou, Miltiadis C.; Nardini, Giovanni; Stea, Giovanni; Virdis, Antonio; Micheli, Davide; Rapone, Damiano; Gomes Baltar, Leonardo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees | 1-gen-2025 | Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A. | |
| Consistent Post-Hoc Explainability in Federated Learning through Federated Fuzzy Clustering | 1-gen-2024 | Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio | |
| Federated c-means and Fuzzy c-means Clustering Algorithms for Horizontally and Vertically Partitioned Data | 1-gen-2024 | Corcuera Barcena, J. L.; Marcelloni, F.; Renda, A.; Bechini, A.; Ducange, P. | |
| Federated Learning of XAI models in healthcare: a case study on Parkinson's Disease | 1-gen-2024 | Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio | |
| On Predicting Spare Parts for Field Services by Leveraging Fault Description and Historical Repairing Data | 1-gen-2024 | Schiavo, Alessio; Marcelloni, Francesco; Ducange, Pietro; Renda, Alessandro; Ruffini, Fabrizio; Dani, Renzo | |
| Trustworthy AI in Heterogeneous Settings: Federated Learning of Explainable Classifiers | 1-gen-2024 | Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro | |
| An Application for Federated Learning of XAI Models in Edge Computing Environments | 1-gen-2023 | Bechini, Alessio; Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro | |
| Enabling federated learning of explainable AI models within beyond-5G/6G networks | 1-gen-2023 | Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Nardini, Giovanni; Noferi, Alessandro; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio; Stea, Giovanni; Virdis, Antonio | |
| Experimental Assessment of Heterogeneous Fuzzy Regression Trees | 1-gen-2023 | Bárcena, José; Ducange, Pietro; Gallo, Riccardo; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio | |
| Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks | 1-gen-2023 | Corcuera Barcena, J. L.; Daole, M.; Ducange, P.; Marcelloni, F.; Nardini, G.; Renda, A.; Stea, G. | |
| Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson’s Disease Progression | 1-gen-2023 | Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A.; Ruffini, F. | |
| Federated TSK Models for Predicting Quality of Experience in B5G/6G Networks | 1-gen-2023 | Corcuera Bárcena, José Luis; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio | |
| OpenFL-XAI: Federated learning of explainable artificial intelligence models in Python | 1-gen-2023 | Daole, M.; Schiavo, A.; Corcuera Barcena, J. L.; Ducange, P.; Marcelloni, F.; Renda, A. | |
| The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G | 1-gen-2023 | Merluzzi, M.; Borsos, T.; Rajatheva, N.; Benczur, A. A.; Farhadi, H.; Yassine, T.; Mueck, M. D.; Barmpounakis, S.; Strinati, E. C.; Dampahalage, D.; Demestichas, P.; Ducange, P.; Filippou, M. C.; Baltar, L. G.; Haraldson, J.; Karacay, L.; Korpi, D.; Lamprousi, V.; Marcelloni, F.; Mohammadi, J.; Rajapaksha, N.; Renda, A.; Uusitalo, M. A. | |
| Trustworthy AI for Next Generation Networks: the Fed-XAI innovative paradigm from the Hexa-X EU Flagship Project | 1-gen-2023 | Ducange, P.; Marcelloni, F.; Micheli, D.; Nardini, G.; Renda, A.; Sabella, D.; Stea, G.; Virdis, A. | |
| A News-based Framework for Uncovering and Tracking City Area Profiles: Assessment in Covid-19 Setting | 1-gen-2022 | Bechini, Alessio; Bondielli, Alessandro; Bárcena, José Luis Corcuera; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro | |
| An Approach to Federated Learning of Explainable Fuzzy Regression Models | 1-gen-2022 | CORCUERA BÁRCENA, JOSÉ LUIS; Ducange, Pietro; Ercolani, Alessio; Marcelloni, Francesco; Renda, Alessandro | |
| Artificial Intelligence in beyond 5G and 6G Wireless Networks-Preface | 1-gen-2022 | Renda, A.; Ducange, P.; Borsos, T.; Flinck, H. | |
| Fed-XAI: Federated Learning of Explainable Artificial Intelligence Models | 1-gen-2022 | CORCUERA BÁRCENA, JOSÉ LUIS; Daole, Mattia; Ducange, Pietro; Marcelloni, Francesco; Renda, Alessandro; Ruffini, Fabrizio; Schiavo, Alessio | |
| Federated Learning of eXplainable AI models in 6G systems: Towards secure and automated vehicles networking | 1-gen-2022 | Renda, Alessandro; Ducange, Pietro; Marcelloni, Francesco; Sabella, Dario; Filippou, Miltiadis C.; Nardini, Giovanni; Stea, Giovanni; Virdis, Antonio; Micheli, Davide; Rapone, Damiano; Gomes Baltar, Leonardo |