- Patent Title: Distributable model with biases contained within distributed data
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Application No.: US15790457Application Date: 2017-10-23
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Publication No.: US10884999B2Publication Date: 2021-01-05
- 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
- Main IPC: G06F16/21
- IPC: G06F16/21 ; G06F16/215 ; G06K9/62 ; G06F16/23 ; G06K9/00 ; G06N5/00 ; G06N20/00

Abstract:
A system for improving a distributable model with biases contained in distributed data 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 cleansed dataset from data stored in the memory based at least in part by biases contained within the data stored in memory, train the instance of the distributable model with the cleansed dataset, and generate an update report based at least in part by updates to the instance of the distributable model.
Public/Granted literature
- US20180181599A1 DISTRIBUTABLE MODEL WITH BIASES CONTAINED WITHIN DISTRIBUTED DATA Public/Granted day:2018-06-28
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