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FabioLiberti/README.md
Fabio Liberti

Fabio Liberti

Research Fellow — Information Systems Department
Ospedale Pediatrico Bambino Gesù, Rome, Italy

Ph.D. Candidate in Big Data & Artificial Intelligence
Università Mercatorum, Rome

Visiting ResearcherBlekinge Institute of Technology, Karlskrona, Sweden

Website ORCID Google Scholar ResearchGate LinkedIn


Research Focus

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.


FENITH — PhD Research Project

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

Publications

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

Books

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

Startups

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.


Affiliations

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

Contact

Email: [email protected]
Web: fabioliberti.com · fenith.org · Linktree

Pinned Loading

  1. FENITH2 FENITH2 Public

    Federated Learning in Dynamic and Heterogeneous Environments for European Digital Healthcare: From Theoretical Framework to Implementation in Italian Hospitals

    1

  2. BLEKFL2 BLEKFL2 Public

    This framework is the result of a collaboration between the Blekinge Institute of Technology, BTH (Karlskrona, Sweden) and the University of the Italian Chambers of Commerce, Universitas Mercatorum…

    Python

  3. flopbg flopbg Public

    Federated Learning in Dynamic and Heterogeneous Environments: A Simulation Platform for Privacy-Preserving Medical AI

    Python

  4. Questionnaire_FL Questionnaire_FL Public

    Progetto di ricerca condotto dall'Ospedale Pediatrico Bambino Gesù (OPBG) in collaborazione con l'Università delle Camere di Commercio Italiane, finalizzato all'analisi dell'adozione del Federated …

    1

  5. FL-EHDS-FLICS2026 FL-EHDS-FLICS2026 Public

    A Privacy-Preserving Federated Learning Framework for the European Health Data Space.

    Python 1

  6. AI-DIGOSA AI-DIGOSA Public

    AI-DIGOSA - AI Distribuita e Governance Sanitaria: Un'Analisi Multidimensionale delle Tensioni tra Norme, Etica e Innovazione

    HTML 1