Prof. Matteo Pennisi - PeRCeiVe.AI Lab - Team Members
About Me
Matteo Pennisi is an Assistant Professor at the University of Catania, working within the Perceive Lab at the Department of Electrical, Electronic and Computer Engineering (DIEEI). He holds a Ph.D. in Artificial Intelligence and is actively engaged in national and international research collaborations. His research interests primarily include Federated Learning, Generative Models, and Continual Learning, with a particular focus on developing privacy-preserving and bio-inspired AI systems. More recently, his work has also expanded to Explainable AI and Federated Unlearning, with the goal of enhancing transparency and user control in decentralized learning environments.
Academic staff
Papers
Projects

2025 - Zero-Shot Decentralized Federated Learning

A. Masano, M. Pennisi, F. Proietto Salanitri, C. Spampinato, G. Bellitto

2025 - Pre-Forgettable Models: Prompt Learning as a Native Mechanism for Unlearning

Rutger Hendrix, Giovanni Patanè, Leonardo G Russo, Simone Carnemolla, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Matteo Pennisi

2024 - FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Bruno Casella, Marco Aldinucci, Simone Palazzo, Concetto Spampinato

2024 - Wake-Sleep Consolidated Learning

Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Simone Palazzo, Concetto Spampinato

2024 - FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning

Luca Palazzo, Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Concetto Spampinato

2024 - Saliency-driven experience replay for continual learning

Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato

2023 - Selective Freezing for Efficient Continual Learning

Amelia Sorrenti, Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Concetto Spampinato, Simone Palazzo

2023 - Experience replay as an effective strategy for optimizing decentralized federated learning

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Concetto Spampinato, Simone Palazzo, Bruno Casella, Marco Aldinucci

2023 - A privacy-preserving walk in the latent space of generative models for medical applications

Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ulas Bagci, Concetto Spampinato

2023 - Dynamic Graph Attention: Unraveling Spatio-Temporal Synchrony in EEG Data

Federica Proietto Salanitri, Giovanni Bellitto, Raffaele Mineo, Matteo Pennisi, Amelia Sorrenti, Salvatore Calcagno, Daniela Giordano, Simone Palazzo, Concetto Spampinato

2022 - Gan latent space manipulation and aggregation for federated learning in medical imaging

Matteo Pennisi, Federica Proietto Salanitri, Simone Palazzo, Carmelo Pino, Francesco Rundo, Daniela Giordano, Concetto Spampinato

2021 - An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans

Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, Vincenzo Schinina, Simone Palazzo, Federica Proietto Salanitri, Giovanni Bellitto, Francesco Rundo, Marco Aldinucci, Massimo Cristofaro, Paolo Campioni, Elisa Pianura, Federica Di Stefano, Ada Petrone, Fabrizio Albarello, Giuseppe Ippolito, Salvatore Cuzzocrea, Sabrina Conoci
No Projects found.