Publications

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    Journals

  1. Cantini, R, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Dynamic hashtag recommendation in social media with trend shift detection and adaptation”. In: IEEE Transactions on Computational Social Systems (2025).
  2. Cantini, R, Orsino, A, Ruggiero, M, Talia, D, “Benchmarking Adversarial Robustness to Bias Elicitation in Large Language Models: Scalable Automated Assessment with LLM-as-a-Judge”. In: Machine Learning (2025).
  3. Cantini, R, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, Badia, RM, Ejarque, J, Vazquez, F, “Block size estimation for data partitioning in HPC applications using machine learning techniques”. In: Journal of Big Data (2024).
  4. Cantini, R, Orsino, A, Talia, D, “Xai-driven knowledge distillation of large language models for efficient deployment on low-resource devices”. In: Journal of Big Data (2024).
  5. Belcastro, L, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Edge-Cloud Continuum Solutions for Urban Mobility Prediction and Planning”. In: IEEE Access (2023).
  6. Belcastro, L, Cantini, R, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Programming big data analysis: principles and solutions”. In: Journal of Big Data (2022).
  7. Cantini, R, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Exploiting machine learning for improving in-memory execution of data-intensive workflows on parallel machines”. In: Future Internet (2021).

    Conferences

  8. Belcastro, L, Cantini, R, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Advancing Green and Fair AI: A Research Perspective on Environmental and Social Sustainability”. In: Ital-IA 2025: 5th National Conference on Artificial Intelligence. 2025.
  9. Belcastro, L, Marozzo, F, Orsino, A, Presta, A, Vinci, A, “Developing cross-platform and fast-responsive applications on the edge-cloud continuum”. In: 15th IFIP Wireless and Mobile Networking Conference. 2024.
  10. Cantini, R, Cosenza, G, Orsino, A, Talia, D, “Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation”. In: 27th International Conference on Discovery Science. 2024.
  11. Jia, H, Kwon, YD, Orsino, A, Dang, T, Talia, D, Mascolo, C, “TinyTTA: Efficient Test-time Adaptation for Edge Devices via Early-exit Ensembles”. In: Advances in Neural Information Processing Systems 37 (NeurIPS). 2024.
  12. Belcastro, L, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Using the Compute Continuum for Data Analysis: Edge-cloud Integration for Urban Mobility”. In: 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP). 2023.
  13. Marozzo, F, Orsino, A, Trunfio, P, Talia, D, “Scaling machine learning at the edge-cloud: a distributed computing perspective”. In: 19th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). 2023.
  14. Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Edge Computing Solutions for Distributed Machine Learning”. In: 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress. 2022.

    Workshops

  15. Belcastro, L, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, Badia, RM, Lordan, F, “Federated Learning in the Edge–Cloud Continuum: A Task-Based Approach with Colony”. In: 23rd International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms. To Appear.
  16. Cantini, R, Gabriele, N, Orsino, A, Talia, D, “Is Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models”. In: Third AEQUITAS Workshop on Fairness and Bias in AI. To Appear.
  17. Cantini, R, Gabriele, N, Orsino, A, “A Parameter-Efficient Approach to Distilling Large Language Models via Meta-Learning”. In: New Trends in Database and Information Systems. 2025.
  18. Cantini, R, Orsino, A, Talia, D, Trunfio, P, “Towards Interpretable Energy Estimation for Edge AI Applications”. In: IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). 2025.

    Book Chapters

  19. Talia, D, Trunfio, P, Cantini, R, Orsino, A, “The Bias Problem in Healthcare AI”. In: The Evolution of Artificial Intelligence in Healthcare. Elsevier. To Appear.
  20. Orsino, A, Talia, D, “Models, Languages and Tools for High-Performance Computing”. In: Encyclopedia of Bioinformatics and Computational Biology, 2nd Edition. To Appear.
  21. Cantini, R, Marozzo, F, Orsino, A, “Deep Learning meets Smart Agriculture: using LSTM Networks to handle anomalous and missing sensor data in the Compute Continuum”. In: Device-Edge-Cloud Continuum – Paradigms, Architectures and Applications. 2023.
  22. Orsino, A, Cantini, R, Marozzo, F, “Evaluating the performance of a multimodal speaker tracking system at the edge-to-cloud continuum”. In: Device-Edge-Cloud Continuum – Paradigms, Architectures and Applications. 2023.
  23. Belcastro, L, Marozzo, F, Orsino, A, “Hybrid edge/cloud solutions for supporting autonomous vehicles”. In: Autonomous Vehicles and Systems. 2022.

    Books

  24. Talia, D, Trunfio, P, Marozzo, F, Belcastro, L, Cantini, R, Orsino, A, “Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs”. ISBN: 978-1-80061-504-5. 2024.

    Pre-prints

  25. Belcastro, L, Marozzo, F, Orsino, A, Talia, D, Trunfio, P, “Navigating the Edge-Cloud Continuum: A State-of-Practice Survey”. In: arXiv preprint arXiv:2506.02003. 2025.