Marco Garofalo

According to our database, Marco Garofalo authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bridging IoT Protocols with the Web of Things: A Path to Enhanced Interoperability.

Zakaria Benomar, Marco Garofalo, Nikolaos Georgantas, Francesco Longo, Giovanni Merlino, Antonio Puliafito

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Web-Centric Federated Learning over the Cloud-Edge Continuum Leveraging ONNX and WASM.

Marco Garofalo, Mario Colosi, Alessio Catalfamo, Massimo Villari

Proceedings of the IEEE Symposium on Computers and Communications, 2024

Flower Full-Compliant Implementation of Federated Learning with Homomorphic Encryption.

Alessio Catalfamo, Lorenzo Carnevale, Marco Garofalo, Massimo Villari

Proceedings of the IEEE Symposium on Computers and Communications, 2024

2023

Workflow Engines in the Compute Continuum: a Comparative Analysis.

Marco Garofalo, Gabriele Morabito, Maria Fazio, Antonio Celesti, Massimo Villari

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

Empirical Analysis of Federated Learning Algorithms: A Federated Research Infrastructure Use Case.

Harshit Gupta, Abhishek Verma, O. P. Vyas, Marco Garofalo, Giuseppe Tricomi, Francesco Longo, Giovanni Merlino, Antonio Puliafito

Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

Cloud-Edge-Client Continuum: Leveraging Browsers as Deployment Nodes with Virtual Pods.

Mario Colosi, Marco Garofalo, Antonino Galletta, Maria Fazio, Antonio Celesti, Massimo Villari

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023

EDGEmergency: A Cloud-Edge Platform to Enable Pervasive Computing for Disaster Management.

Mario Colosi, Marco Garofalo, Lorenzo Carnevale, Roberto Marino, Maria Fazio, Massimo Villari

Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, 2023