Invention Grant
- Patent Title: Filtering training data for models in a data center
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Application No.: US15857313Application Date: 2017-12-28
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Publication No.: US11295235B2Publication Date: 2022-04-05
- Inventor: Francesc Guim Bernat , Mark A. Schmisseur , Karthik Kumar , Thomas Willhalm
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Compass IP Law PC
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/04 ; G06F3/06 ; H04L12/26 ; H04L12/24 ; H04L43/028 ; H04L41/16 ; H04L41/14 ; H04L41/5006

Abstract:
Technology for a data filter device operable to filter training data is described. The data filter device can receive training data from a data provider. The training data can be provided with corresponding metadata that indicates a model stored in a data store that is associated with the training data. The data filter device can identify a filter that is associated with the model stored in the data store. The data filter device can apply the filter to the training data received from the data provider to obtain filtered training data. The data filter device can provide the filtered training data to the model stored in the data store, wherein the filtered training data is used to train the model.
Public/Granted literature
- US20190034829A1 FILTERING TRAINING DATA FOR MODELS IN A DATA CENTER Public/Granted day:2019-01-31
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