Invention Grant
- Patent Title: Machine-learned data management between devices
-
Application No.: US16798563Application Date: 2020-02-24
-
Publication No.: US11449800B2Publication Date: 2022-09-20
- Inventor: Cesar Augusto Rodriguez Bravo , Kevin Jimenez Mendez , Sarbajit K. Rakshit , Craig M. Trim
- Applicant: KYNDRYL, INC.
- Applicant Address: US NY New York
- Assignee: KYNDRYL, INC.
- Current Assignee: KYNDRYL, INC.
- Current Assignee Address: US NY New York
- Agency: Heslin Rothenberg Farley & Mesiti P.C.
- Agent Erik Swanson, Esq.; Kevin P. Radigan, Esq.
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
Management of machine-learned data between machine-learning devices is facilitated by a processor(s) obtaining a machine-learned data set of a first device, with the machine-learned data set of the first device being categorized machine-learned information. The processor(s) determines one or more device hardware requirements to use the machine-learned data set, and based on receiving a request to provide the machine-learned data set to a second device, determines whether the second device meets the one or more device hardware requirements to use the machine-learned data set of the first device. Based on determining that the second device meets the one or more device hardware requirements, the processor(s) provides the machine-learned data set of the first device to the second device to provide the categorized machine-learned information of the first device to the second device for use by the second device.
Public/Granted literature
- US20210264313A1 MACHINE-LEARNED DATA MANAGEMENT BETWEEN DEVICES Public/Granted day:2021-08-26
Information query