Invention Grant
- Patent Title: Transfer learning and domain adaptation using distributable data models
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Application No.: US16801082Application Date: 2020-02-25
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Publication No.: US11321637B2Publication Date: 2022-05-03
- Inventor: Jason Crabtree , Andrew Sellers
- Applicant: QOMPLX, Inc.
- Applicant Address: US VA Tysons
- Assignee: QOMPLX, Inc.
- Current Assignee: QOMPLX, Inc.
- Current Assignee Address: US VA Tysons
- Agency: Galvin Patent Law LLC
- Agent Brian R. Galvin; Brian S. Boon
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06N20/00 ; G06K9/62 ; G06N7/00 ; G06F16/27 ; G06F16/215 ; G06V10/94

Abstract:
A system for transfer learning and domain adaptation using distributable data models is provided, comprising a network-connected distributable model configured to serve instances of a plurality of distributable models; and a directed computation graph module configured to receive at least an instance of at least one of the distributable models from the network-connected computing system, create a second dataset from machine learning performed by a transfer engine, train the instance of the distributable model with the second dataset, and generate an update report based at least in part by updates to the instance of the distributable model.
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