Invention Grant
- Patent Title: Remote execution of machine-learned models
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Application No.: US16554518Application Date: 2019-08-28
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Publication No.: US11496600B2Publication Date: 2022-11-08
- Inventor: Umesh S. Vaishampayan , Gaurav Kapoor , Kit-man Wan
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Dentons US LLP
- Main IPC: H04L67/59
- IPC: H04L67/59 ; H04L67/2895 ; G06F3/04883 ; G06N20/00 ; H04W4/021 ; H04L67/00

Abstract:
In an exemplary process for remote execution of machine-learned models, one or more signals from a second electronic device is detected by a first electronic device. The second electronic device includes a machine-learned model associated with an application implemented on the first electronic device. Based on the one or more signals, a communication connection is established with the second electronic device and a proxy to the machine-learned model is generated. Input data is obtained via a sensor of the first electronic device. A representation of the input data is sent to the second electronic device via the proxy and the established communication connection. The representation of the input data is processed through the machine-learned model to generate an output. A result derived from the output is received via the communication connection and a representation of the result is outputted.
Public/Granted literature
- US20200382616A1 REMOTE EXECUTION OF MACHINE-LEARNED MODELS Public/Granted day:2020-12-03
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