Muhammad Akbar Husnoo

Orcid: 0000-0001-7908-8807

According to our database1, Muhammad Akbar Husnoo authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A Secure Federated Learning Framework for Residential Short-Term Load Forecasting.
IEEE Trans. Smart Grid, 2024

Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach.
CoRR, 2024

2023
Aspect-based automated evaluation of dialogues.
Knowl. Based Syst., November, 2023

False data injection threats in active distribution systems: A comprehensive survey.
Future Gener. Comput. Syst., 2023

FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination.
CoRR, 2023

FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination.
Proceedings of the IEEE INFOCOM 2023, 2023

Misbehaviour Detection for Smart Grids using a Privacy-centric and Computationally Efficient Federated Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2023

POSTER: A Semi-asynchronous Federated Intrusion Detection Framework for Power Systems.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

Towards Robust Misbehavior Detection in Power Control Systems: A Gradient Quantization Approach.
Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous Networks, 2023

2022
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers.
CoRR, 2022

2021
Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems.
Ad Hoc Networks, 2021

Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey.
IEEE Access, 2021


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