DP2-NILM: A distributed and privacy-preserving framework for non-intrusive load monitoring
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DOI: 10.1016/j.rser.2023.114091
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- Hui Cao & Shubo Liu & Renfang Zhao & Xingxing Xiong, 2020. "IFed: A novel federated learning framework for local differential privacy in Power Internet of Things," International Journal of Distributed Sensor Networks, , vol. 16(5), pages 15501477209, May.
- Jin-Gyeom Kim & Bowon Lee, 2019. "Appliance Classification by Power Signal Analysis Based on Multi-Feature Combination Multi-Layer LSTM," Energies, MDPI, vol. 12(14), pages 1-24, July.
- Cominola, A. & Giuliani, M. & Piga, D. & Castelletti, A. & Rizzoli, A.E., 2017. "A Hybrid Signature-based Iterative Disaggregation algorithm for Non-Intrusive Load Monitoring," Applied Energy, Elsevier, vol. 185(P1), pages 331-344.
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Keywords
Deep neural network; Federated learning; Global differential privacy; Local differential privacy; Non-intrusive load monitoring; Privacy-preserving; Utility optimization;All these keywords.
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