My main research interests are the development of Privacy-Preserving Machine and Deep Learning solutions powered by Homomorphic Encryption. Among the others, I focus in particular on the application of PP-MDL to time-series analysis, forecasting, etc.
Publications
- Big Data, Machine Learning, and Personalization in Health Systems: Ethical Issues and Emerging Trade-Offs
Date: 2025-10-01
Author(s): S. Canali, A. Falcetta, M. Pavan, M. Roveri, and V. Schiaffonati
Venue: Science and Engineering Ethics
- Privacy-preserving deep learning: algorithms, technologies, and ethics
Date: 2025-03-01
Author(s): A. Falcetta
Venue: PhD Thesis
- Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks
Date: 2025-01-04
Author(s): A. A. F. Colombo, L. Colombo, A. Falcetta, and M. Roveri
Venue: Pacific Symposium on Biocomputing (PSB) 2025
- Training Encrypted Neural Networks on Encrypted Data with Fully Homomorphic Encryption
Date: 2024-10-18
Author(s): L. Colombo, A. Falcetta, and M. Roveri
Venue: 12th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, in ACM CCS 2024
- VETT: Vectordb-enabled transfer-learning for time- series forecasting
Date: 2024-10-15
Author(s): A. Falcetta, G. Cristofaro, L. Epifani, and M. Roveri
Venue: 2024 International Conference on AI-ML Systems, Baton Rouge, USA, 2024
- EVAD: encrypted vibrational anomaly detection with homomorphic encryption
Date: 2024-03-01
Author(s): A. Falcetta and M. Roveri
Venue: Neural Computing and Applications, Springer
- TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment
Date: 2023-10-25
Author(s): L. Colombo, A. Falcetta, and M. Roveri
Venue: 2023 International Conference on AI-ML Systems, Bangalore, India, 2023
- To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health
Date: 2023-10-09
Author(s): A. Falcetta, M. Pavan, S. Canali, V. Schiaffonati, and M. Roveri
Venue: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), Thessaloniki, Greece
- GreenTea: Time-series Exploration as-a-Service for environmental science
Date: 2023-06-05
Author(s): F. Puoti, A. Falcetta, M. Roveri, D. Riva, and D. Chiggiato
Venue: 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023
- CNAS: Constrained Neural Architecture Search
Date: 2022-10-12
Author(s): M. Gambella, A. Falcetta, and M. Roveri
Venue: International Conference on Systems, Man, and Cybernetics (IEEE SMC), Prague, 2022
- T4C: A Framework for Time-Series Clustering-as-a-Service
Date: 2022-09-19
Author(s): A. Falcetta and M. Roveri
Venue: 2022 CPS Summer School PhD Workshop, (CPSWS 2022), Pula, 2022
- TIMEX: an Automatic Framework for Time-Series Forecasting-as-a-Service
Date: 2022-08-15
Author(s): A. Falcetta and M. Roveri
Venue: The Sixth International Workshop on Automation in Machine Learning, workshop of the 28th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), Washington D.C., 2022
- Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction
Date: 2022-08-01
Author(s): A. Falcetta and M. Roveri
Venue: IEEE Computational Intelligence Magazine
- Privacy-preserving Time Series Prediction With Temporal Convolutional Neural Networks
Date: 2022-07-19
Author(s): A. Falcetta and M. Roveri
Venue: The International Joint Conference on Neural Networks (IJCNN), Padova, 2022
- A First Step Towards a Streaming Linked Data Life-Cycle
Date: 2020-11-01
Author(s): R. Tommasini, M. Ragab, A. Falcetta, E.D. Valle, S. Sakr
Venue: International Semantic Web Conference (ISWC Satellites), Athens, 2020
- A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service
Date: 2020-07-19
Author(s): S. Disabato, A. Falcetta, A. Mongelluzzo and M. Roveri
Venue: The International Joint Conference on Neural Networks (IJCNN), Glascow, Scotland, 2020
Program Committees
- Guest Editor of the Special Issue on Privacy-Preserving Machine and Deep Learning at IEEE Computational Intelligence Magazine (2025).
- Organizer of the Special Session on Privacy-Preserving Machine and Deep Learning IEEE IJCNN (2026, 2025).
- Publicity co-chair and Social media co-chair for the AI-ML Systems conference (2024, 2023).
Reviewer Activity
- Journal of Artificial Intelligence Research, Morgan Kaufmann, Years: 2025
- Computational and Structural Biotechnology, Elsevier, Years: 2025
- PLOS Digital Health, Years: 2025
- Computer Networks, Elsevier, Years: 2025
- Neural Computing and Applications, Elsevier, Years: 2024, 2023
- IEEE Transactions on Artificial Intelligence, Years: 2024, 2023, 2022, 2021
- Expert Systems With Applications, Elsevier, Years: 2024, 2023, 2022, 2021
- Neural Networks, Elsevier, Years: 2022
- International Conference on Systems, Man, Cybernetics (IEEE SMC), Years: 2023, 2022
- International Conference on AI-ML Systems (AI-ML SYSTEMS), Years: 2024, 2023, 2022
- IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC), Years: 2024
- IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), Years: 2025, 2024
Teaching Activities
PhD
Master
Undergraduate
- Informatica e Elementi di Informatica Medica
Years: 2022, 2023
High school
Industrial
- Percorso di formazione SW Development 2021 - Cefriel S.Cons.R.L
Years: 2021
- Intelligenza Artificiale per il Manufacturing: Tecniche, approcci e applicazioni - MADE S.c.ar.l
Years: 2024, 2025
- Online Certification Program in Artificial Intelligence for Professionals - POLIMI Graduate School of Management
Years: 2023, 2024, 2025
Master Thesis
I am co-relator of 25+ Master thesis (Computer Science and Engineering).
Industrial Projects
I actively collaborate with Dhiria S.r.l., the start-up that originated from our research group. Moreover, I have participated in several industrial projects, with companies such as Ferrari S.p.A, Pirelli S.p.A, and eGeos S.p.A, among others.
Other Research Activities
- Abstract at workshop: Privacy-preserving deep learning with homomorphic encryption
Date: 2022-11-29
Author(s): M. Roveri, A. Falcetta
Venue: The 11th Italian Workshop on Machine Learning and Data Mining, workshop of the 21th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) Udine, 2022
- Tutorial: Privacy-preserving machine and deep learning with homomorphic encryption: an introduction
Date: 2022-07-19
Author(s): M. Roveri, A. Falcetta
Venue: The International Joint Conference on Neural Networks (IJCNN), Padova, 2022