Luca Corbucci

13 papers A 2B 3C 1Journal 4Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rashomon Sets and Model Multiplicity in Federated Learning.
CoRR
Xenia Heilmann, Luca Corbucci, Mattia Cerrato
2025 — conf
A Benchmark for Client-level Fairness in Federated Learning.
EWAF
Xenia Heilmann, Luca Corbucci, Mattia Cerrato
2025 A conf
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items.
ECAI
Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti
2025 J jnl
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items.
CoRR
Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti
2025 — conf
Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level.
FAccT
Luca Corbucci, Xenia Heilmann, Mattia Cerrato
2025 B conf
Differentially Private FastSHAP for Federated Learning Model Explainability.
IJCNN
Valerio Bonsignori, Luca Corbucci, Francesca Naretto, Anna Monreale
2025 B conf
Enhancing Local Explanations with GAN-Based Neighborhood Generation.
DS
Luca Corbucci, Francesca Naretto, Anna Monreale
2025 J jnl
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation.
CoRR
Xenia Heilmann, Luca Corbucci, Mattia Cerrato, Anna Monreale
2024 C conf
Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection.
SECRYPT
Luca Corbucci, Anna Monreale, Roberto Pellungrini
2024 A conf
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning.
ECAI
Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
2024 J jnl
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning.
CoRR
Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
2023 — conf
Explaining Black-Boxes in Federated Learning.
xAI (2)
Luca Corbucci, Riccardo Guidotti, Anna Monreale
2023 B conf
Semantic Enrichment of Explanations of AI Models for Healthcare.
DS
Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi