Alessandro Falcetta

According to our database, Alessandro Falcetta authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

EVAD: encrypted vibrational anomaly detection with homomorphic encryption.

Alessandro Falcetta, Manuel Roveri

Neural Comput. Appl., May, 2024

Training Encrypted Neural Networks on Encrypted Data with Fully Homomorphic Encryption.

Luca Colombo, Alessandro Falcetta, Manuel Roveri

Proceedings of the 12th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2024

2023

To Personalize or Not To Personalize? Soft Personalization and the Ethics of ML for Health.

Alessandro Falcetta, Massimo Pavan, Stefano Canali, Viola Schiaffonati, Manuel Roveri

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment.

Luca Colombo, Alessandro Falcetta, Manuel Roveri

Proceedings of the Third International Conference on AI-ML Systems, 2023

2022

Privacy-Preserving Deep Learning With Homomorphic Encryption: An Introduction.

Alessandro Falcetta, Manuel Roveri

IEEE Comput. Intell. Mag., 2022

CNAS: Constrained Neural Architecture Search.

Matteo Gambella, Alessandro Falcetta, Manuel Roveri

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Privacy-preserving time series prediction with temporal convolutional neural networks.

Alessandro Falcetta, Manuel Roveri

Proceedings of the International Joint Conference on Neural Networks, 2022

T4C: A Framework for Time-Series Clustering-as-a-Service.

Alessandro Falcetta, Manuel Roveri

Proceedings of the CPS Summer School PhD Workshop 2022 co-located with 4th Edition of the CPS Summer School (CPS 2022), 2022

2020

A First Step Towards a Streaming Linked Data Life-Cycle.

Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta, Emanuele Della Valle, Sherif Sakr

Proceedings of the Semantic Web - ISWC 2020, 2020

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service.

Simone Disabato, Alessandro Falcetta, Alessio Mongelluzzo, Manuel Roveri

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Bootstrapping the Publication of Linked Data Streams.

Riccardo Tommasini, Mohamed Ragab, Alessandro Falcetta, Emanuele Della Valle, Sherif Sakr

Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019