Invention Grant
- Patent Title: Demographic-aware federated machine learning
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Application No.: US16792650Application Date: 2020-02-17
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Publication No.: US11699107B2Publication Date: 2023-07-11
- Inventor: Thomas R. Gilbertson , Matthew R. Versaggi , Gregory J. Boss
- Applicant: Optum, Inc.
- Applicant Address: US MN Minnetonka
- Assignee: Optum, Inc.
- Current Assignee: Optum, Inc.
- Current Assignee Address: US MN Minnetonka
- Agency: Alston & Bird LLP
- Main IPC: G06N20/20
- IPC: G06N20/20 ; G06N3/08 ; G06N7/01

Abstract:
There is a need for more effective and efficient predictive data analysis. This need can be addressed by, for example, solutions for performing/executing demographic-aware federated machine learning. In one example, a method includes receiving local machine learning model data objects from model data object provider agents; for each inference-profile pair that is associated with a corresponding inference identifier and a corresponding model profile, generating a global machine learning model data object based at least in part on a related local model subset of the local machine learning model data objects for the inference-profile pair; and providing, based at least in part on each global machine learning model data object, a demographic-aware predictive data analysis application programming interface (API), wherein the demographic-aware predictive data analysis API is accessible by the model data object provider agents.
Public/Granted literature
- US20210256429A1 DEMOGRAPHIC-AWARE FEDERATED MACHINE LEARNING Public/Granted day:2021-08-19
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