| 2026 | CCGRID | Towards Monitoring-Driven and Workload-Aware Scheduling for Federated Learning in Cloud-Edge Environments. | Pierluigi Dell'Acqua, Eleonora Di Pietro, Francesco la Rosa, Angelo Marchese, Orazio Tomarchio, Massimo Villari |
| 2026 | CCGRID | Edge-Native Federated Lidar Analytics for Robust Guardrail Monitoring in Rural Environments. | Maria Teresa Reggio, Francesco la Rosa, Pierluigi Dell'Acqua, Massimo Villari |
| 2025 | ICIAP | Benchmarking GANs, Diffusion Models, and Flow Matching for T1w-to-T2w MRI Translation. | Andrea Moschetto, Lemuel Puglisi, Alec Sargood, Pierluigi Dell'Acqua, Francesco Guarnera, Sebastiano Battiato, Daniele Rav |
| 2025 | ISCC | A Serverless Quantization-as-a-Service Model to Run Compression Jobs for Edge Intelligence. | Danny De Novi, Pierluigi Dell'Acqua, Lorenzo Carnevale, Maria Fazio, Massimo Villari |
| 2025 | UCC | Simplifying Federated Learning Deployment: Design and Implementation of the FLeeT Framework. | Pierluigi Dell'Acqua, Marco Garofalo, Francesco la Rosa, Massimo Villari |
| 2025 | UCC | Agentic Federated LLMs at the Edge for Promptable Guardrail Inspection with YOLO-E. | Pierluigi Dell'Acqua, Francesco la Rosa, Massimo Villari |
| 2024 | ISCC | Knowledge Distillation and Federated Learning for Data-Driven Monitoring of Electrical Vehicle Li-Battery. | Pierluigi Dell'Acqua, Maria Fazio, Lorenzo Carnevale, Massimo Villari |