Federal learning-based model training method and device, equipment and storage medium

The embodiment of the invention provides a model training method and device based on federated learning, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method is applied to a model training system, the model training system comprises a plurality of...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: WANG WEI, ZENG ZHIXIAN, CHEN HUANKUN, ZHANG QIAN
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:The embodiment of the invention provides a model training method and device based on federated learning, equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method is applied to a model training system, the model training system comprises a plurality of initial computing devices, initial models are stored in the plurality of initial computing devices, and the method comprises the steps that the initial computing devices perform federal training on the initial models according to preset training times to obtain the initial models; acquiring equipment index data and model parameter sending times of the initial computing equipment; constructing an equipment relation graph according to the equipment index data and the model parameter sending times; determining neighbor equipment of the initial computing equipment according to the equipment index data and the equipment relation graph; acquiring neighbor model parameters of neighbor equipment; and the initial computing