A federated LSTM for household load forecasting that chooses each client's learning rate by validation loss is reported to beat federated averaging and LSTM on a single-household dataset.
Person- alized federated learning for heterogeneous residential load forecasting,
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Electrical Load Forecasting in Smart Grid: A Personalized Federated Learning Approach
A federated LSTM for household load forecasting that chooses each client's learning rate by validation loss is reported to beat federated averaging and LSTM on a single-household dataset.