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Aftab Khan
ORCID
Publication Activity (10 Years)
Years Active: 2022-2024
Publications (10 Years): 27
Top Topics
Lightweight
Concept Drift
Graph Representation
Drift Detection
Top Venues
CoRR
CCNC
PerCom Workshops
ICNP
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Publications
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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)