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Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring
  Method for Privacy-Protection

Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection

24 May 2021
Haijin Wang
Caomingzhe Si
Junhua Zhao
Guolong Liu
Fushuan Wen
ArXivPDFHTML

Papers citing "Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection"

4 / 4 papers shown
Title
Synthetic Data Generation for Residential Load Patterns via Recurrent
  GAN and Ensemble Method
Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
Xinyu Liang
Ziheng Wang
Hao Wang
24
3
0
20 Oct 2024
Federated Computing -- Survey on Building Blocks, Extensions and Systems
Federated Computing -- Survey on Building Blocks, Extensions and Systems
René Schwermer
R. Mayer
Hans-Arno Jacobsen
FedML
40
1
0
03 Apr 2024
A Review of Federated Learning in Energy Systems
A Review of Federated Learning in Energy Systems
Xu Cheng
Chendan Li
Xiufeng Liu
32
27
0
20 Aug 2022
DP$^2$-NILM: A Distributed and Privacy-preserving Framework for
  Non-intrusive Load Monitoring
DP2^22-NILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring
Shuang Dai
Fanlin Meng
Qian Wang
Xizhong Chen
23
5
0
30 Jun 2022
1