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Muhammad Akbar Husnoo

Observed names: Akbar Husnoo, Husnoo, Muhammad Akbar, M. A. Husnoo
Institution: Deakin University
Observed institution: Deakin University
ORCID: 0000-0001-7908-8807
Observed ORCID: 0000-0001-7908-8807
OpenAlex ID: A5061344628
A Secure Federated Learning Framework for Residential Short-Term Load Forecasting
2023 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · IEEE Transactions on Smart Grid · 84
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Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey
2021 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · IEEE Access · 67
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FedDiSC: A computation-efficient federated learning framework for power systems disturbance and cyber attack discrimination
2023 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · Energy and AI · 58
False data injection threats in active distribution systems: A comprehensive survey
2022 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · Future Generation Computer Systems · 57
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FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
2022 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · IEEE PES Asia-Pacific Power and Energy Engineering Conference · 48
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Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems
2021 · Muhammad Akbar Husnoo, Adnan Anwar · Ad Hoc Networks · 20
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination
2023 · M. A. Husnoo, A. Anwar, et al. · IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) · 13
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Misbehaviour Detection for Smart Grids using a Privacy-centric and Computationally Efficient Federated Learning Approach
2023 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · Globecom · 2
POSTER: A Semi-asynchronous Federated Intrusion Detection Framework for Power Systems
2023 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · ACM Asia Conference on Computer and Communications Security (ASIA CCS) · 2
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FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination
2023 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · arXiv (Cornell University) · 2
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Towards Robust Misbehavior Detection in Power Control Systems: A Gradient Quantization Approach
2023 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · 1
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Aspect-based automated evaluation of dialogues
2023 · Arash Shabanpour, Ziwei Hou, et al. · Knowledge-Based Systems · 1
Leveraging federated learning for smart grids: A comprehensive survey
2026 · Muhammad Akbar Husnoo, Adnan Anwar, et al. · Cyber-Physical Energy Systems
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Image Processing Techniques in Automatic Diabetic Retinopathy Screening Systems
2020 · V. Sivakumar, Muhammad Akbar Husnoo · TEST Engineering & Management
Works count: 15
Citation count: 357
H-index: 7
I10-index: 7
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