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ORCIDPietro Edoardo Carnelli
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2020 – today
- 2024
[j2]Alexander Herzog, Robbie Southam
, Othmane Belarbi, Saif Anwar, Marcello Bullo, Pietro Carnelli, Aftab Khan:
Selective Updates and Adaptive Masking for Communication-Efficient Federated Learning. IEEE Trans. Green Commun. Netw. 8(2): 852-864 (2024)- [c14]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. PerCom Workshops 2024: 727-732 - [i11]Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan:
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. CoRR abs/2401.13366 (2024) - [i10]Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Edoardo Carnelli, Alexis Olivereau, Aftab Khan:
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. CoRR abs/2404.18328 (2024) - 2023
- [c13]Jonas Paulavicius, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan:
Client Tuned Federated Learning for RSSI-based Indoor Localisation. CCNC 2023: 170-175 - [c12]Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan:
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. CCNC 2023: 611-619 - [c11]Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan:
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. CSCN 2023: 195-201 - [c10]Ufuk Erol, Francesco Raimondo, James Pope, Samuel Gunner, Vijay Kumar, Ioannis Mavromatis, Pietro Edoardo Carnelli, Theodoros Spyridopoulos, Aftab Khan, George Oikonomou:
Evaluating Concept Drift Detectors on Real-World Data. EWSN 2023: 397-402 - [c9]Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
Federated Deep Learning for Intrusion Detection in IoT Networks. GLOBECOM 2023: 237-242 - [c8]Marcello Bullo, Seifallah Jardak, Pietro Edoardo Carnelli, Deniz Gündüz:
Sustainable Edge Intelligence Through Energy-Aware Early Exiting. MLSP 2023: 1-6 - [c7]Hamdi Friji, Ioannis Mavromatis, Adrián Sánchez-Mompó, Pietro Carnelli, Alexis Olivereau, Aftab Khan:
Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study. TrustCom 2023: 620-627 - [i9]Marcello Bullo, Seifallah Jardak, Pietro Edoardo Carnelli, Deniz Gündüz:
Sustainable Edge Intelligence Through Energy-Aware Early Exiting. CoRR abs/2305.14094 (2023) - [i8]Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
Federated Deep Learning for Intrusion Detection in IoT Networks. CoRR abs/2306.02715 (2023) - [i7]Ioannis Mavromatis, Stefano De Feo, Pietro Edoardo Carnelli, Robert J. Piechocki, Aftab Khan:
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. CoRR abs/2310.11131 (2023) - [i6]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:
Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs. CoRR abs/2312.14687 (2023) - 2022
- [c6]Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. MORSE@MobiCom 2022: 7-12 - [c5]Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos:
An Intrusion Detection System Based on Deep Belief Networks. SciSec 2022: 377-392 - [i5]Ioannis Mavromatis, Aleksandar Stanoev, Pietro Edoardo Carnelli, Yichao Jin, Mahesh Sooriyabandara, Aftab Khan:
A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniques. CoRR abs/2203.16915 (2022) - [i4]Othmane Belarbi, Aftab Khan, Pietro Edoardo Carnelli, Theodoros Spyridopoulos:
An Intrusion Detection System based on Deep Belief Networks. CoRR abs/2207.02117 (2022) - [i3]Diya Anand, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan:
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. CoRR abs/2208.12996 (2022) - [i2]Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Edoardo Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan:
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. CoRR abs/2211.01840 (2022) - [i1]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:
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. CoRR abs/2212.08525 (2022) - 2021
- [c4]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:
Container Escape Detection for Edge Devices. SenSys 2021: 532-536 - 2020
- [j1]Aftab Khan, Parag Kulkarni, Ian Shergold, Michael Jones, Marko Dogramadzi, Pietro Edoardo Carnelli, Mahesh Sooriyabandara:
Reducing Parking Space Search Time and Environmental Impacts: A Technology Driven Smart Parking Case Study. IEEE Technol. Soc. Mag. 39(3): 62-75 (2020)
2010 – 2019
- 2018
- [c3]Pietro Edoardo Carnelli, Mahesh Sooriyabandara, R. Eddie Wilson:
Large-Scale VANET Simulations and Performance Analysis using Real Taxi Trace and City Map Data. VNC 2018: 1-8 - 2017
- [c2]Pietro Edoardo Carnelli, Joy Yeh, Mahesh Sooriyabandara, Aftab Khan:
ParkUs: A Novel Vehicle Parking Detection System. AAAI 2017: 4650-4656 - [c1]Michael Jones, Aftab Khan, Parag Kulkarni, Pietro Edoardo Carnelli, Mahesh Sooriyabandara:
ParkUs 2.0: Automated Cruise Detection for Parking Availability Inference. MobiQuitous 2017: 242-251
Coauthor Index
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last updated on 2024-10-07 21:11 CEST by the dblp team
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