Model training method and device based on longitudinal federated learning system and storage medium
The embodiment of the invention discloses a model training method and device based on a longitudinal federated learning system and a storage medium. The method comprises: executing an objective function of a model to be trained, wherein the model to be trained comprises at least two types of model p...
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Sprache: | chi ; eng |
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Zusammenfassung: | The embodiment of the invention discloses a model training method and device based on a longitudinal federated learning system and a storage medium. The method comprises: executing an objective function of a model to be trained, wherein the model to be trained comprises at least two types of model parameter sets, and each model parameter set corresponds to a matched training data set and/or training data label set; analyzing each data item included in the target function layer by layer to obtain a logic plan execution tree; generating a physical execution plan according to the training data set and/or the training data label set used by each tree node in the logic plan execution tree; and according to the physical execution plan, scheduling each device in the longitudinal federated learning system to train each model parameter set included in the to-be-trained model. According to the scheme of the embodiment of the invention, the model training process of longitudinal federation learning does not need to be c |
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