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Transmitting machine learning models to edge devices for edge analytics

机译:将机器学习模型传输到边缘设备的边缘分析

摘要

Disclosed is a technique that can be performed by a server computer system. The technique can include executing a machine learning process to generate a machine learning model based on global data collected from one or more electronic devices, wherein the machine learning model is described by model data. The technique can further include encapsulating the model data in a markup language document. The technique can further include sending, over a network, the markup language document to at least one electronic device of the one or more electronic devices to cause the at least one electronic device to update a local device machine learning model.
机译:公开了一种可以由服务器计算机系统执行的技术。 该技术可以包括执行机器学习过程以产生基于从一个或多个电子设备收集的全局数据生成机器学习模型,其中通过模型数据描述机器学习模型。 该技术还可以包括在标记语言文档中封装模型数据。 该技术还可以包括通过网络发送标记语言文档到一个或多个电子设备的至少一个电子设备,以使至少一个电子设备更新本地设备机器学习模型。

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