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Research

โœ๏ธ Publications #

2025 #

  • Luca Corbucci, Xenia Heilmann, Mattia Cerrato - Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level. Accepted at ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2025 - Athens, Greece ๐Ÿ‡ฌ๐Ÿ‡ท

  • Valerio Bonsignori, Luca Corbucci, Francesca Naretto, Anna Monreale - Differentially Private FastSHAP for Federated Learning Model Explainability. Accepted at International Joint Conference on Neural Networks (IJCNN) 2025 - Rome, Italy ๐Ÿ‡ฎ๐Ÿ‡น

2024 #

2023 #

2022 #

โœˆ๏ธ Participation in conferences and Summer Schools #

  • ECAI 2024 - 21 October - 24 October, 2024 - Santiago De Compostela, Spain ๐Ÿ‡ช๐Ÿ‡ธ
  • Summer School on Security & Privacy in the Age of AI 2024 - 10 September - 13 September, 2024 - Leuven, Belgium ๐Ÿ‡ง๐Ÿ‡ช
  • M2L: Mediterranean Machine Learning Summer School - 28th August - 2nd September, 2023 - Thessaloniki, Greece ๐Ÿ‡ฌ๐Ÿ‡ท
  • XAI World Conference 2023 - 25th - July 28rd, 2023. Lisbon, Portugal ๐Ÿ‡ต๐Ÿ‡น
  • Lipari Summer School - DATA SCIENCE: Models, Algorithms, AI and Beyond July - 17th - July 23rd, 2022. Lipari ๐Ÿ‡ฎ๐Ÿ‡น
  • HHAI: The first International Conference on Hybrid Human-Artificial Intelligence - 13-17 June 2022, Amsterdam ๐Ÿ‡ณ๐Ÿ‡ฑ

๐Ÿ“š Thesis Co-Supervision #

  • Elia Bisconti, “Towards Personalized Explainability: The development of a Modular Recommender System to Assess Explanation Suitability for Different Personas”, Master Degree in Computer Science, 2025
  • Javier Alejandro Borges Legrottaglie, “A Data-Driven Unsupervised Approach for the Prevention of Forgotten Items"โ€‹, Master Degree in Digital Humanities, 2025
  • Francesco Cappellini, โ€œFederated Explainable Artificial Intelligence: A Case Study"โ€‹, One-year Master in Big Data Analytics & Social Mining, 2023