Pietro Edoardo Carnelli

25 papers A* 1B 2C 1Misc 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2024 — conf
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
PerCom Workshops
Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan
2024 J jnl
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems.
CoRR
Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan
2024 J jnl
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study.
CoRR
Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Alexis Olivereau, Aftab Khan
2023 — conf
Client Tuned Federated Learning for RSSI-based Indoor Localisation.
CCNC
Jonas Paulavicius, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan
2023 J jnl
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs.
CoRR
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
2023 B conf
Evaluating Concept Drift Detectors on Real-World Data.
EWSN
Ufuk Erol, Francesco Raimondo, James Pope, Samuel Gunner, Vijay Kumar, Ioannis Mavromatis, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan, George Oikonomou
2023 — conf
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation.
CSCN
Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan
2023 J jnl
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation.
CoRR
Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan
2023 B conf
Federated Deep Learning for Intrusion Detection in IoT Networks.
GLOBECOM
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2023 J jnl
Federated Deep Learning for Intrusion Detection in IoT Networks.
CoRR
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2023 — conf
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.
CCNC
Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
2023 — conf
Sustainable Edge Intelligence Through Energy-Aware Early Exiting.
MLSP
Marcello Bullo, Seifallah Jardak, Pietro Edoardo Carnelli, Deniz Gündüz
2023 J jnl
Sustainable Edge Intelligence Through Energy-Aware Early Exiting.
CoRR
Marcello Bullo, Seifallah Jardak, Pietro Edoardo Carnelli, Deniz Gündüz
2022 J jnl
A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques.
CoRR
Ioannis Mavromatis, Aleksandar Stanoev, Pietro Edoardo Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan
2022 — conf
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.
MORSE@MobiCom
Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2022 J jnl
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges.
CoRR
Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
2022 — conf
An Intrusion Detection System Based on Deep Belief Networks.
SciSec
Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos
2022 J jnl
An Intrusion Detection System based on Deep Belief Networks.
CoRR
Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos
2022 J jnl
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices.
CoRR
Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
2022 J jnl
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection.
CoRR
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
2021 Misc conf
Container Escape Detection for Edge Devices.
SenSys
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
2020 J jnl
Reducing Parking Space Search Time and Environmental Impacts: A Technology Driven Smart Parking Case Study.
IEEE Technol. Soc. Mag.
Aftab Khan, Parag Kulkarni, Ian Shergold, Michael Jones, Marko Dogramadzi, Pietro Edoardo Carnelli, Mahesh Sooriyabandara
2018 — conf
Large-Scale VANET Simulations and Performance Analysis using Real Taxi Trace and City Map Data.
VNC
Pietro Edoardo Carnelli, Mahesh Sooriyabandara, R. Eddie Wilson
2017 C conf
ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference.
MobiQuitous
Michael Jones, Aftab Khan, Parag Kulkarni, Pietro Edoardo Carnelli, Mahesh Sooriyabandara
2017 A* conf
ParkUs: A Novel Vehicle Parking Detection System.
AAAI
Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan