Pietro Edoardo Carnelli

Orcid: 0000-0002-4993-5873

According to our database1, Pietro Edoardo Carnelli authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning.
IEEE Trans. Green Commun. Netw., June, 2024

Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
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.
CoRR, 2023

Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

Sustainable Edge Intelligence Through Energy-Aware Early Exiting.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Federated Deep Learning for Intrusion Detection in IoT Networks.
Proceedings of the IEEE Global Communications Conference, 2023

Evaluating Concept Drift Detectors on Real-World Data.
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.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2023

Client Tuned Federated Learning for RSSI-based Indoor Localisation.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection.
CoRR, 2022

A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques.
CoRR, 2022

An Intrusion Detection System Based on Deep Belief Networks.
Proceedings of the Science of Cyber Security - 4th International Conference, 2022

A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.
Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing, 2022

2021
Container Escape Detection for Edge Devices.
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.
IEEE Technol. Soc. Mag., 2020

2018
Large-Scale VANET Simulations and Performance Analysis using Real Taxi Trace and City Map Data.
Proceedings of the 2018 IEEE Vehicular Networking Conference, 2018

2017
ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

ParkUs: A Novel Vehicle Parking Detection System.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017


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