Habib Ullah Manzoor
Orcid: 0000-0003-0192-7353
According to our database1,
Habib Ullah Manzoor
authored at least 15 papers
between 2021 and 2025.
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Bibliography
2025
Enhancing Consumer Privacy in Federated Load Forecasting Through Single-Layer Aggregation.
IEEE Consumer Electron. Mag., July, 2025
Semantic-Aware Federated Blockage Prediction (SFBP) in Vision-Aided Next-Generation Wireless Network.
IEEE Trans. Netw. Serv. Manag., April, 2025
Novel Stealth Communication Round Attack and Robust Incentivized Federated Averaging for Load Forecasting.
IEEE Trans. Sustain. Comput., 2025
Smart grid security through fusion-enhanced federated learning against adversarial attacks.
Eng. Appl. Artif. Intell., 2025
2024
IET Networks, July, 2024
Adaptive Single-layer Aggregation Framework for Energy-efficient and Privacy-preserving Load Forecasting in Heterogeneous Federated Smart Grids.
Internet Things, 2024
A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy.
Future Internet, 2024
Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting.
Proceedings of the IEEE Conference on Standards for Communications and Networking, 2024
2023
Sensors, December, 2023
FedBranched: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks.
Sensors, April, 2023
Achieving 45% efficiency of CIGS/CdS Solar Cell by adding GaAs using optimization techniques.
CoRR, 2023
Defending Federated Learning from Backdoor Attacks: Anomaly-Aware FedAVG with Layer-Based Aggregation.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023
Blockchain-Empowered Immutable and Reliable Delivery Service (BIRDS) Using UAV Networks.
Proceedings of the 28th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks , 2023
2022
Proceedings of the 29th IEEE International Conference on Electronics, Circuits and Systems, 2022
2021
Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing.
Proceedings of the IEEE International Conference on Communications Workshops, 2021