Federal learning-based time series model uncertainty correction method and system

The invention provides a federated learning-based time sequence model uncertainty correction method and system, and the method comprises the steps: aggregating the local label data distribution of each local client through a prediction model of the local client, and obtaining a global model covering...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	CAI CHAO, CHEN QIANG, FANG YUMING, JIANG WENHUI, ZUO YIFAN, ZHONG RIJIN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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