Aftab Khan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 27

Top Topics

Graph Representation

Drift Detection

Top Venues

PerCom Workshops

Publications

Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Carnelli, Aftab Khan
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. CoRR (2024)
Ioannis Mavromatis, Yichao Jin, Aleksandar Stanoev, Anthony Portelli, Ingram Weeks, Ben Holden, Eliot Glasspole, Tim Farnham, Aftab Khan, Usman Raza, Adnan Aijaz, Ichiro Seto, Nita Patel, Mahesh Sooriyabandara
UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT Experimentation. CoRR (2024)
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) (2024)
Peizheng Li, Ioannis Mavromatis, Aftab Khan
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. CoRR (2024)
Peizheng Li, Ioannis Mavromatis, Aftab Khan
Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed. PerCom Workshops (2024)
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 (2024)
Ioannis Mavromatis, Yichao Jin, Aleksandar Stanoev, Anthony Portelli, Ingram Weeks, Ben Holden, Eliot Glasspole, Tim Farnham, Aftab Khan, Usman Raza, Adnan Aijaz, Thomas Bierton, Ichiro Seto, Nita Patel, Mahesh Sooriyabandara
UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation. IEEE Access 12 (2024)
Jikun Gao, Ioannis Mavromatis, Peizheng Li, Pietro Edoardo Carnelli, Aftab Khan
Mitigating System Bias in Resource Constrained Asynchronous Federated Learning Systems. PerCom Workshops (2024)
Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab Khan
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning. CoRR (2024)
Ioannis Mavromatis, Kostas Katsaros, Aftab Khan
Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference. CoRR (2024)
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)
Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. IWCMC (2023)
Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro 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 (2023)
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Carnelli, Aftab Khan
Federated Deep Learning for Intrusion Detection in IoT Networks. CoRR (2023)
Ioannis Mavromatis, Stefano De Feo, Pietro Carnelli, Robert J. Piechocki, Aftab Khan
FROST: Towards Energy-efficient AI-on-5G Platforms - A GPU Power Capping Evaluation. CoRR (2023)
Ioannis Mavromatis, Aftab Khan
Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework. CCNC (2023)
Jonas Paulavicius, Pietro Carnelli, Robert J. Piechocki, Aftab Khan
Client Tuned Federated Learning for RSSI-based Indoor Localisation. CCNC (2023)
Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan
Hierarchical and Decentralised Federated Learning. CoRR (2023)
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)
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi, Ioannis Mavromatis, Pietro Edoardo Carnelli, Aftab Khan
Federated Deep Learning for Intrusion Detection in IoT Networks. GLOBECOM (2023)
Ioannis Mavromatis, Adrián Sánchez-Mompó, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices. CCNC (2023)
Theo Chow, Usman Raza, Ioannis Mavromatis, Aftab Khan
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments. CoRR (2023)
Ben Jones, Usman Raza, Aftab Khan
Tiny but Mighty: Embedded Machine Learning for Indoor Wireless Localization. CCNC (2023)
Zhizhao Liang, Yichao Jin, Jagdeep Singh, Aftab Khan
Demo: BuildTwin: Towards Real-Time High-Fidelity Digital Twin for Smart Building Management. ICNP (2023)
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)
Diya Anand, Ioannis Mavromatis, Pietro Carnelli, Aftab Khan
A Federated Learning-enabled Smart Street Light Monitoring Application: Benefits and Future Challenges. MORSE@MobiCom (2022)
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 Carnelli, Theodoros Spyridopoulos, Aftab Khan
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection. CoRR (2022)