Pietro Edoardo Carnelli

According to our database, Pietro Edoardo Carnelli authored at least 19 papers between 2017 and 2024.

Collaborative distances:

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

2024

Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning.

Alexander Herzog, Robbie Southam, Othmane Belarbi, Saif Anwar, Marcello Bullo, Pietro Carnelli, Aftab Khan

IEEE Trans. Green Commun. Netw., June, 2024

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.

Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

2023

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs.

Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro Edoardo Carnelli, Woon Hau Chin, Ahmed Khalil, Jennifer Chakravarty, Lucia Cipolina Kun, Robert J. Piechocki, Colin Robbins, Daniel Cunnington, Leigh Chase, Lamogha Chiazor, Chris Preston, Rahul, Aftab Khan

CoRR, 2023

Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study.

Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Carnelli, Alexis Olivereau, Aftab Khan

Proceedings of the 22nd IEEE International Conference on Trust, 2023

Sustainable Edge Intelligence Through Energy-Aware Early Exiting.

Marcello Bullo, Seifallah Jardak, Pietro Edoardo Carnelli, Deniz Gündüz

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Federated Deep Learning for Intrusion Detection in IoT Networks.

Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan

Proceedings of the IEEE Global Communications Conference, 2023

Evaluating Concept Drift Detectors on Real-World Data.

Ufuk Erol, Francesco Raimondo, James Pope, Samuel Gunner, Vijay Kumar, Ioannis Mavromatis, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan, George Oikonomou

Proceedings of the 2023 International Conference on embedded Wireless Systems and Networks, 2023

FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation.

Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

Client Tuned Federated Learning for RSSI-based Indoor Localisation.

Jonas Paulavicius, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.

Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan

Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022

Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection.

James Pope, Jinyuan Liang, Vijay Kumar, Francesco Raimondo, Xinyi Sun, Ryan McConville, Thomas Pasquier, Robert J. Piechocki, George Oikonomou, Bo Luo, Dan Howarth, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan

CoRR, 2022

A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques.

Ioannis Mavromatis, Aleksandar Stanoev, Pietro Edoardo Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan

CoRR, 2022

An Intrusion Detection System Based on Deep Belief Networks.

Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos

Proceedings of the Science of Cyber Security - 4th International Conference, 2022

A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.

Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan

Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing, 2022

2021

Container Escape Detection for Edge Devices.

James Pope, Francesco Raimondo, Vijay Kumar, Ryan McConville, Robert J. Piechocki, George Oikonomou, Thomas Pasquier, Bo Luo, Dan Howarth, Ioannis Mavromatis, Pietro Edoardo Carnelli, Adrián Sánchez-Mompó, Theodoros Spyridopoulos, Aftab Khan

Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

2020

Reducing Parking Space Search Time and Environmental Impacts: A Technology Driven Smart Parking Case Study.

Aftab Khan, Parag Kulkarni, Ian Shergold, Michael Jones, Marko Dogramadzi, Pietro Edoardo Carnelli, Mahesh Sooriyabandara

IEEE Technol. Soc. Mag., 2020

2018

Large-Scale VANET Simulations and Performance Analysis using Real Taxi Trace and City Map Data.

Pietro Edoardo Carnelli, Mahesh Sooriyabandara, R. Eddie Wilson

Proceedings of the 2018 IEEE Vehicular Networking Conference, 2018

2017

ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference.

Michael Jones, Aftab Khan, Parag Kulkarni, Pietro Edoardo Carnelli, Mahesh Sooriyabandara

Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

ParkUs: A Novel Vehicle Parking Detection System.

Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017