Deep learning (DL)-based nonintrusive load monitoring (NILM) methods face significant challenges due to the high cost of acquiring appliance annotations as training labels. While existing ...

Federated learning (FL) has emerged as a promising paradigm that enables clients to collaboratively train a shared global model without uploading their local data. To alleviate the heterogeneous data ...