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MACHINE-LEARNED MODEL SWITCHING SYSTEM, EDGE DEVICE, MACHINE-LEARNED MODEL SWITCHING METHOD, AND PROGRAM
MACHINE-LEARNED MODEL SWITCHING SYSTEM, EDGE DEVICE, MACHINE-LEARNED MODEL SWITCHING METHOD, AND PROGRAM
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机译：机器学习的模型切换系统，边缘设备，机器学习的模型切换方法和程序
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摘要
In the field of the Internet of Things (IoT), the present invention switches, according to location, the machine-learned model that an edge device uses. A transmission means 211 of an edge device 2 transmits, to a provision device 1, location information that was generated by a positioning unit 26. When the location information is transmitted from the edge device 2 to the provision device 1, an acquisition means 111 acquires the location information and delivers the same to a specification means 112. The specification means 112 specifies a machine-learned model that corresponds to the location indicated by the location information. A provision means 113 reads, from a model DB 121, the machine-learned model specified by the specification means 112, and provides the same to the edge device 2 that transmitted the location information to the provision device 1. When the machine-learned model is provided to the edge device 2, in accordance with this provided new machine-learned model, a switching means 212 switches out an old machine-learned model 221 that is stored in a storage unit 22.
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