Research Fellow — Information Systems Department
Ospedale Pediatrico Bambino Gesù, Rome, Italy
Ph.D. Candidate in Big Data & Artificial Intelligence
Università Mercatorum, Rome
Visiting Researcher — Blekinge Institute of Technology, Karlskrona, Sweden
My research investigates Federated Learning (FL) in dynamic and heterogeneous environments, with a primary focus on healthcare applications. The goal is to enable privacy-preserving, multi-institutional collaboration across hospital networks, edge devices, and cloud infrastructures — building ecosystems of ubiquitous intelligence that support clinical decision-making without centralising sensitive patient data.
Core areas: Federated Learning, Edge Computing, Cloud Computing, AI in Healthcare, Large Language Models, Privacy-Preserving Machine Learning, European Health Data Space (EHDS), HL7/FHIR, OMOP/OHDSI.
My doctoral work is structured under FENITH (Federated Learning in Dynamic and Heterogeneous Environments for European Digital Healthcare), a meta-repository aggregating all research artifacts into four clusters:
| Cluster | Repositories | Focus |
|---|---|---|
| Platforms | flopbg · BLEKFL2 · FL-EHDS-FLICS2026 | FL architectures, 38 algorithms, 35 datasets, 6000+ experiments |
| Applications | Questionnaire_FL · CIDE · CIDE2 · FedHR5.0 · CRISTAIN2025 | Hospital adoption, OMOP/FHIR business models, XAI, Industry 5.0 |
| Governance | AI-DIGOSA · icsis2026 · ICID2026 | Ethics, health policy, EHDS reference architecture |
| Foundations | DHFLPL2 · Heterogeneous_FL | Seminal paper (MDPI 2024, 21 citations), educational materials |
| Year | Title | Venue | Status |
|---|---|---|---|
| 2024 | FL in Dynamic and Heterogeneous Environments: Advantages, Performances, and Privacy Problems | MDPI Applied Sciences · DOI | Published (21 cit.) |
| 2025 | AI Distribuita e Governance Sanitaria: Tensioni tra Norme, Etica e Innovazione | ITAIS 2025 | Presented |
| 2025 | Transforming Clinical Silos into Economic Assets: Business Models for EU Digital Health Research Networks | CIDE 2025, Ploiesti | Presented |
| 2025 | Explainable FL for Secure Telemedicine: Privacy-Preserving Deepfake Detection | CIDE 2025, Ploiesti | Presented |
| 2025 | FedHR5.0: Privacy-Preserving HR Management in Industry 5.0 | ISM 2025, Malta | Accepted |
| 2025 | FA-FedAvg: Forensic-Aware Federated Averaging for Law Enforcement | CRISTAIN 2025, CHItaly | Accepted |
| 2026 | FL + EHDS Governance Framework: Differential Privacy and Secure Aggregation | FLICS 2026, Valencia (IEEE) | Submitted |
| 2026 | FL as Policy Data Infrastructure for Territorial Healthcare Planning | ICSIS 2026, Valencia | Submitted |
| 2026 | Three-Layered Reference Architecture for FL within EHDS | ICID 2026, Ulaanbaatar (Springer) | Submitted |
| 2026 | FedHR5.0: FL for Knowledge Asset Dynamics in Industry 5.0 | IFKAD 2026, Budapest | Submitted |
| Title | ISBN |
|---|---|
| Federated Learning: Fondamenti Teorici e Architetture (Vol. 1/4) | 9798300049942 |
| Federated Learning in Sanità: Modelli Economici, Governance e Policy Making | 9798305866612 |
| Piano di Sviluppo Questionario — Adozione del FL negli Ospedali Italiani | 9798306242088 |
| Sistemi Sanitari Intelligenti e Distribuiti | 9798309552115 |
| Architetture del Potere — Analisi Comparata dei Sistemi Statali Contemporanei | 9798308318828 |
FENITH — Collaborative framework connecting Italian healthcare institutions through Federated Learning for secure knowledge sharing.
NeuroEdgeAI — Democratising AI through scientific dissemination and accessible tooling.
AI-Ichnos — AI-driven platform for corporate carbon footprint reduction.
| Institution | Role | Period |
|---|---|---|
| Università Mercatorum, Rome | Ph.D. Candidate — Big Data & AI | 2023 – present |
| Ospedale Pediatrico Bambino Gesù, Rome | Research Internship — Clinical FL platforms | Oct 2023 – Mar 2025 |
| Blekinge Institute of Technology, Sweden | Visiting Researcher — Heterogeneous FL | Apr 2025 – Sep 2026 |
Email: [email protected]
Web: fabioliberti.com · fenith.org · Linktree