Invention Grant
- Patent Title: On-device machine learning platform
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Application No.: US15674910Application Date: 2017-08-11
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Publication No.: US11138517B2Publication Date: 2021-10-05
- Inventor: Pannag Sanketi , Wolfgang Grieskamp , Daniel Ramage , Hrishikesh Aradhye , Shiyu Hu
- Applicant: Google Inc.
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning, P.A.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04

Abstract:
The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.
Public/Granted literature
- US20190050749A1 On-Device Machine Learning Platform Public/Granted day:2019-02-14
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