Luca Corbucci

Orcid: 0000-0001-5427-5518

According to our database1, Luca Corbucci authored at least 11 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Rashomon Sets and Model Multiplicity in Federated Learning.
CoRR, February, 2026

2025
FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation.
CoRR, June, 2025

Differentially Private FastSHAP for Federated Learning Model Explainability.
Proceedings of the International Joint Conference on Neural Networks, 2025

Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level.
Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

A Benchmark for Client-level Fairness in Federated Learning.
Proceedings of the European Workshop on Algorithmic Fairness, 2025

An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

Enhancing Local Explanations with GAN-Based Neighborhood Generation.
Proceedings of the Discovery Science - 28th International Conference, 2025

2024
Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection.
Proceedings of the 21st International Conference on Security and Cryptography, 2024

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023
Explaining Black-Boxes in Federated Learning.
Proceedings of the Explainable Artificial Intelligence, 2023

Semantic Enrichment of Explanations of AI Models for Healthcare.
Proceedings of the Discovery Science - 26th International Conference, 2023


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