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

, , , , , , and . CoRR, (2023)

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False data injection threats in active distribution systems: A comprehensive survey., , , , , and . Future Gener. Comput. Syst., (2023)Do not get fooled: Defense against the one-pixel attack to protect IoT-enabled Deep Learning systems., and . Ad Hoc Networks, (2021)False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey., , , , , and . CoRR, (2021)A Secure Federated Learning Framework for Residential Short-Term Load Forecasting., , , , , and . IEEE Trans. Smart Grid, 15 (2): 2044-2055 (2024)Aspect-based automated evaluation of dialogues., , , , , and . Knowl. Based Syst., (November 2023)Misbehaviour Detection for Smart Grids using a Privacy-centric and Computationally Efficient Federated Learning Approach., , , , and . GLOBECOM, page 2269-2274. IEEE, (2023)FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers., , , , , and . CoRR, (2022)Towards Robust Misbehavior Detection in Power Control Systems: A Gradient Quantization Approach., , , and . ARTMAN@CCS, page 29-36. ACM, (2023)FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination., , , , , , and . INFOCOM Workshops, page 1-6. IEEE, (2023)Differential Privacy for IoT-Enabled Critical Infrastructure: A Comprehensive Survey., , , , and . IEEE Access, (2021)