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

no code implementations • 24 May 2021 • Haijin Wang, Caomingzhe Si, Junhua Zhao, Guolong Liu, Fushuan Wen

However, inadequate load data and the risk of power consumer privacy breaches may be encountered by local data owners during the NILM model training.

Federated Learning Non-Intrusive Load Monitoring

A Federated Learning Framework for Non-Intrusive Load Monitoring

no code implementations • 4 Apr 2021 • Haijin Wang, Caomingzhe Si, Junhua Zhao

The global model is generated by weighted averaging the locally-trained model weights to gather the locally-trained model information.

Federated Learning Model Selection +1