The BIOCHIP project: A Deep Learning approach for multiwell segmentation. - Martina Savoia; Diletta Chiaro; Fabio Giampaolo; Salvatore Cuomo; Francesco Piccialli (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Graph Neural Networks in Emergency Management: A Case Study on Fire Call Assignment. - Stefano Izzo; Marzia Canzaniello; Martina Savoia; Fabio Giampaolo; Francesco Piccialli (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Integrating Object Detection and Advanced Analytics for Smart City Crowd Management. - Edoardo Prezioso; Fabio Giampaolo; Stefano Izzo; Martina Savoia; Francesco Piccialli (ICNSC, 2023)

On the Dynamics of Non-IID Data in Federated Learning and High-Performance Computing. - Daniela Annunziata; Marzia Canzaniello; Diletta Chiaro; Stefano Izzo; Martina Savoia; Francesco Piccialli (PDP, 2024)

Benchmarking Federated Learning on High-Performance Computing: Aggregation Methods and Their Impact. - Daniela Annunziata; Marzia Canzaniello; Martina Savoia; Salvatore Cuomo; Francesco Piccialli (PDP, 2024)

Eco-FL: Enhancing Federated Learning sustainability in edge computing through energy-efficient client selection. - Martina Savoia; Edoardo Prezioso; Valeria Mele; Francesco Piccialli (Comput. Commun., 2024)

FLAMES - Federated Learning for Advanced MEdical Segmentation. - Martina Savoia; Edoardo Prezioso; Francesco Piccialli (Expert Syst. J. Knowl. Eng., 2025)

AGRIFOLD: AGRIculture Federated learning for Optimized Leaf disease Detection. - Francesco Piccialli; Ciro Della Bruna; Diletta Chiaro; Pian Qi; Martina Savoia (Expert Syst. Appl., 2025)