A Hybrid Federated Learning Framework With Dynamic Task Allocation for Multi-Party Distributed Load Prediction
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DOI: 10.1109/tsg.2022.3215742
Abstract: In distributed load prediction problems, training datasets on load consumption and load-related features are scattered within various districts and parties. To fully exploit the underlying patterns of these decentralized data, federated learning is needed as… read more here.
Keywords: distributed load; load prediction; hybrid federated; federated learning ... See more keywords