Ahmed Imteaj
Orcid: 0000-0002-6975-3997
According to our database1,
Ahmed Imteaj
authored at least 24 papers
between 2019 and 2024.
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Collaborative distances:
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Bibliography
2024
IEEE Consumer Electron. Mag., March, 2024
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning.
CoRR, 2024
2023
A Novel Scalable Reconfiguration Model for the Postdisaster Network Connectivity of Resilient Power Distribution Systems.
Sensors, February, 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-Constrained Computing.
IEEE Internet Things J., 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer.
CoRR, 2023
Assessing Wearable Human Activity Recognition Systems Against Data Poisoning Attacks in Differentially-Private Federated Learning.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023
FLID: Intrusion Attack and Defense Mechanism for Federated Learning Empowered Connected Autonomous Vehicles (CAVs) Application.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023
2022
Intell. Syst. Appl., 2022
IEEE Internet Things J., 2022
CoRR, 2022
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-75024-4, 2021
Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic.
Patterns, 2021
Exploiting Federated Learning Technique to Recognize Human Activities in Resource-Constrained Environment.
Proceedings of the Intelligent Human Computer Interaction, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Distributed Network Optimization for Secure Operation of Interdependent Complex Networks.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
2020
Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art.
CoRR, 2020
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Cascaded Solid State Transformer Structure to Power Fast EV Charging Stations from Medium Voltage Transmission Lines.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks.
CoRR, 2019
Quantifying location privacy in permissioned blockchain-based internet of things (IoT).
Proceedings of the MobiQuitous 2019, 2019