Lorenzo Carnevale
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
9
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | Hierarchical Semi-Supervised Federated Learning for UAV-Enabled Fire Monitoring. | Mark Adrian Gambito, Bahman Javadi, Lorenzo Carnevale, Massimo Villari |
| 2026 | CCGRID | Towards Proactive AIOps: Transfer Learning for Unsupervised Anomaly Detection via Bi-LSTM Autoencoder. | Danny De Novi, Lorenzo Carnevale, Massimo Villari |
| 2025 | CCGRID | Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated Learning. | Lorenzo Carnevale, Daniel Balouek, Serena Sebbio, Manish Parashar, Massimo Villari |
| 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 | ISCC | Core Services for Managing Big Data in Smart Cities During Natural Disasters. | Serena Sebbio, Antonio Filograna, Lorenzo Carnevale, Massimo Villari, Giovanni Giacco, Francesco Arigliano |
| 2025 | UCC | Predictive Resource Management in the Computing Continuum: Transfer Learning from Virtual Machines to Containers using Transformers. | Danny De Novi, Lorenzo Carnevale, Daniel Balouek, Manish Parashar, Massimo Villari |
| 2024 | ISCC | Flower Full-Compliant Implementation of Federated Learning with Homomorphic Encryption. | Alessio Catalfamo, Lorenzo Carnevale, Marco Garofalo, 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 |
| 2024 | ISCC | A Low Cost Platform for Distributed Data-Driven Structural Health Monitoring. | Roberto Marino, Antonino Marino, Domenica De Domenico, Lorenzo Carnevale, Mark Adrian Gambito, Massimo Villari |
| 2024 | ISCC | Sequence-to-Sequence Models in Italian Atypical Speech Recognition. | Davide Mulfari, Lorenzo Carnevale, Massimo Villari |
| 2024 | UCC | Hierarchical Federated Learning for Natural Disaster Management. | Mark Adrian Gambito, Lorenzo Carnevale, Mohammad Reza Jabbarpour, Bahman Javadi, Massimo Villari |
| 2023 | CCGRID | Securing Serverless Workflows on the Cloud Edge Continuum. | Gabriele Morabito, Christian Sicari, Lorenzo Carnevale, Antonino Galletta, Giuseppe Di Modica, Massimo Villari |
| 2023 | CCGRID | Edge Computing Solutions Supporting Voice Recognition Services for Speakers with Dysarthria. | Davide Mulfari, Lorenzo Carnevale, Antonino Galletta, Massimo Villari |
| 2023 | ISCC | When Robotics Meets Distributed Learning: the Federated Learning Robotic Network Framework. | Roberto Marino, Lorenzo Carnevale, Massimo Villari |
| 2023 | ISCC | 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 |
| 2023 | PERCOM | Orchestration of Containerized Applications in the Cloud Continuum. | Giuseppe Di Modica, Antonino Galletta, Lorenzo Carnevale, Ahmad Alkhansa, Alessandro Costantini, Daniele Cesini, Paolo Bellavista, Massimo Villari |
| 2023 | UCC | Federated Learning on Raspberry Pi 4: A Comprehensive Power Consumption Analysis. | Serena Sebbio, Gabriele Morabito, Alessio Catalfamo, Lorenzo Carnevale, Maria Fazio |
| 2022 | CCGRID | OTE: Optimal Trustworthy EdgeAI solutions for smart cities. | Vasileios Mygdalis, Lorenzo Carnevale, Jos Ramiro Martinez de Dios, Dmitriy Shutin, Giovanni Aiello, Massimo Villari, Ioannis Pitas |
| 2022 | DASC | From Cloud-Edge to Edge-Edge Continuum: the Swarm-Based Edge Computing Systems. | Lorenzo Carnevale, Alessandro Ortis, Giancarlo Fortino, Sebastiano Battiato, Massimo Villari |
| 2022 | DASC | OpenWolf: A Serverless Workflow Engine for Native Cloud-Edge Continuum. | Christian Sicari, Lorenzo Carnevale, Antonino Galletta, Massimo Villari |
| 2022 | ISCC | A NLP-based Approach to Improve Speech Recognition Services for People with Speech Disorders. | Antonio Celesti, Maria Fazio, Lorenzo Carnevale, Massimo Villari |
| 2022 | ISCC | An Energy Efficiency Analysis of the Blockchain-Based extended Triple Diffie-Hellman Protocol for IoT. | Armando Ruggeri, Antonino Galletta, Lorenzo Carnevale, Massimo Villari |
| 2022 | UCC | 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 |
| 2021 | HPDC | An Osmotic Ecosystem for Data Streaming Applications in Smart Cities. | Emanuele Carlini, Lorenzo Carnevale, Massimo Coppola, Patrizio Dazzi, Gabriele Mencagli, Domenico Talia, Massimo Villari |
| 2021 | ISCC | Multi Hop Reconfiguration of End-Devices in Heterogeneous Edge-IoT Mesh Networks. | Lorenzo Carnevale, Armando Ruggeri, Francesco Martella, Antonio Celesti, Maria Fazio, Massimo Villari |
| 2021 | ISMAR | Visitor Artwork Ambient and how Making New Functions of Cultural Heritage by Using Augmented Reality within an Ambient Intelligence. | Lorenzo Carnevale, Luisa Damiano, Antonio Fleres, Massimo Villari |
| 2019 | ISCC | Towards Osmotic Computing: a Blue-Green Strategy for the Fast Re-Deployment of Microservices. | Alina Buzachis, Antonino Galletta, Antonio Celesti, Lorenzo Carnevale, Massimo Villari |
| 2018 | AINA | From the Cloud to Edge and IoT: a Smart Orchestration Architecture for Enabling Osmotic Computing. | Lorenzo Carnevale, Antonio Celesti, Antonino Galletta, Schahram Dustdar, Massimo Villari |
| 2018 | ICFEC | Towards Osmotic Computing: Analyzing Overlay Network Solutions to Optimize the Deployment of Container-Based Microservices in Fog, Edge and IoT Environments. | Alina Buzachis, Antonino Galletta, Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Massimo Villari |
| 2018 | ISCC | Osmotic Computing: Software Defined Membranes meet Private/Federated Blockchains. | Massimo Villari, Antonino Galletta, Antonio Celesti, Lorenzo Carnevale, Maria Fazio |
| 2017 | ISCC | How to enable clinical workflows to integrate big healthcare data. | Lorenzo Carnevale, Antonio Celesti, Maria Fazio, Placido Bramanti, Massimo Villari |
| 2017 | ISCC | Big data analytics in genomics: The point on Deep Learning solutions. | Fabrizio Celesti, Antonio Celesti, Lorenzo Carnevale, Antonino Galletta, Salvatore Campo, Agata Romano, Placido Bramanti, Massimo Villari |