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APPLICATION RECOGNITION MODEL UPDATING METHOD AND APPARATUS, AND STORAGE MEDIUM

机译:应用识别模型更新方法和装置,以及存储介质

摘要

An application recognition model updating method and apparatus, and a storage medium. Client devices can determine multiple training samples according to recognition results for multiple data flows to train an application recognition model using the training samples; next, the client devices may upload to a server the model data of the trained application recognition model, and the server performs a joint update according to the model data uploaded by multiple client devices; then, the client devices may obtain a jointly updated application recognition model according to the jointly updated model data sent from the server. It can be seen that the jointly updated application recognition model can be said to be updated according to the characteristics of the real-time data flows collected by multiple client devices, such that even if an application is updated or other new applications appear, the recognition accuracy of the application recognition model can be guaranteed.
机译:应用识别模型更新方法和装置和存储介质。 客户端设备可以根据多个数据流的识别结果确定多个训练样本,以使用训练样本训练应用识别模型; 接下来,客户端设备可以上载到服务器的训练应用识别模型的模型数据,并且服务器根据多个客户端设备上载的模型数据执行联合更新; 然后,客户端设备可以根据从服务器发送的共同更新的模型数据获得共同更新的应用识别模型。 可以看出,可以根据多个客户端设备收集的实时数据流的特征来更新联合更新的应用识别模型,使得即使更新应用程序或出现其他新应用程序,识别 可以保证应用识别模型的准确性。

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