MuoviMe: Secure Access to Sustainable Mobility Services in Smart City. - Alessio Catalfamo; Maria Fazio; Francesco Martella; Antonio Celesti; Massimo Villari (ISCC, 2021)

A Microservices and Blockchain Based One Time Password (MBB-OTP) Protocol for Security-Enhanced Authentication. - Alessio Catalfamo; Armando Ruggeri; Antonio Celesti; Maria Fazio; Massimo Villari (ISCC, 2021)

A Distributed Peer to Peer Identity and Access Management for the Osmotic Computing. - Christian Sicari; Alessio Catalfamo; Antonino Galletta; Massimo Villari (CCGRID, 2022)

A Homomorphic Encryption Service to Secure Data Processing in a Cloud/Edge Continuum Context. - Alessio Catalfamo; Antonio Celesti; Maria Fazio; Massimo Villari (FiCloud, 2022)

A Platform for Federated Learning on the Edge: a Video Analysis Use Case. - Alessio Catalfamo; Antonio Celesti; Maria Fazio; Giovanni Randazzo; Massimo Villari (ISCC, 2022)

Scaling Data Analysis Services in an Edge-based Federated Learning Environment. - Alessio Catalfamo; Lorenzo Carnevale; Antonino Galletta; Francesco Martella; Antonio Celesti; Maria Fazio; Massimo Villari (UCC, 2022)

Secure and Energy Efficient Filtered Over-the-Air Internet of Things Setup in a Wireless Mesh Network for Firmware Freshness. - Lorenzo Carnevale; Annamaria Ficara; Alessio Catalfamo; Antonino Galletta; Maria Fazio; Massimo Villari (IEEE Big Data, 2023)

Optimized NLP Models for Digital Twins in Metaverse. - Valeria Lukaj; Alessio Catalfamo; Maria Fazio; Antonio Celesti; Massimo Villari (COMPSAC, 2023)

A NoSQL DBMS Transparent Data Encryption Approach for Cloud/Edge Continuum. - Valeria Lukaj; Alessio Catalfamo; Francesco Martella; Maria Fazio; Massimo Villari; Antonio Celesti (ISCC, 2023)

TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management. - Christian Sicari; Alessio Catalfamo; Lorenzo Carnevale; Antonino Galletta; Daniel Balouek-Thomert; Manish Parashar; Massimo Villari (ISCC, 2023)

Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis. - Serena Sebbio; Gabriele Morabito; Alessio Catalfamo; Lorenzo Carnevale; Maria Fazio (UCC, 2023)

Federated Objective: Assessing Client Truthfulness in Federated Learning. - Marco Garofalo; Alessio Catalfamo; Mario Colosi; Massimo Villari (IEEE Big Data, 2024)

Machine Learning Workflows in the Computing Continuum for Environmental Monitoring. - Alessio Catalfamo; Atakan Aral; Ivona Brandic; Ewa Deelman; Massimo Villari (ICCS (5), 2024)

Flower Full-Compliant Implementation of Federated Learning with Homomorphic Encryption. - Alessio Catalfamo; Lorenzo Carnevale; Marco Garofalo; Massimo Villari (ISCC, 2024)

Web-Centric Federated Learning over the Cloud-Edge Continuum Leveraging ONNX and WASM. - Marco Garofalo; Mario Colosi; Alessio Catalfamo; Massimo Villari (ISCC, 2024)

Enabling Flower for Federated Learning in Web Browsers in the Cloud-Edge-Client Continuum. - Mario Colosi; Alessio Catalfamo; Marco Garofalo; Massimo Villari (UCC, 2024)

Privacy-Preserving in Federated Learning: A Comparison between Differential Privacy and Homomorphic Encryption across Different Scenarios. - Alessio Catalfamo; Maria Fazio; Antonio Celesti; Massimo Villari (ICSTW, 2025)