Revolutionary Framework Enhances Energy Forecasting While Protecting Privacy
Recent advancements in decentralized federated learning (DFL) have the potential to revolutionize energy consumption forecasting, as demonstrated by a new study led by Qazi Waqas Khan from the Department of Computer Engineering at Jeju National Unive
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