Research
✍️ Publications #
2024 #
- Luca Corbucci, Anna Monreale, Roberto Pellungrini - Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection. Presented at the 21st International Conference on Security and Cryptography (SECRYPT 2024) - Djion, France 🇫🇷
2023 #
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Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi - Semantic enrichment of explanations of AI models for healthcare - Presented at Discovery Science'23 - Porto, Portugal 🇵🇹
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Luca Corbucci, Riccardo Guidotti, Anna Monreale (2023) - Explaining Black-Boxes in Federated Learning - Presented at Xai World Conference 2023 - Lisbon, Portugal 🇵🇹
2022 #
- Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi (2022) - Semantic Enrichment of XAI Explanation for healthcare - Presented at ICAI'22 - Online
✈️ Participation in conferences and Summer Schools #
- M2L: Mediterranean Machine Learning Summer School - 28th August - 2nd September, 2023 - Thessaloniki, Greece 🇬🇷
- XAI World Conference 2023 - 25th - July 28rd, 2023. Lisbon, Portugal 🇵🇹
- Lipari Summer School - DATA SCIENCE: Models, Algorithms, AI and Beyond July - 17th - July 23rd, 2022. Lipari 🇮🇹
- HHAI: The first International Conference on Hybrid Human-Artificial Intelligence - 13-17 June 2022, Amsterdam 🇳🇱
📚 Thesis Co-Supervision #
- Francesco Cappellini, “Federated Explainable Artificial Intelligence: A Case Study", One-year Master in Big Data Analytics & Social Mining, 2023