Invention Grant
- Patent Title: Method for AI model transferring with address randomization
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Application No.: US16900597Application Date: 2020-06-12
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Publication No.: US11409653B2Publication Date: 2022-08-09
- Inventor: Yueqiang Cheng , Hefei Zhu
- Applicant: Baidu USA LLC , KUNLUNXIN TECHNOLOGY (BEIJING) COMPANY LIMITED
- Applicant Address: US CA Sunnyvale; CN Beijing
- Assignee: Baidu USA LLC,KUNLUNXIN TECHNOLOGY (BEIJING) COMPANY LIMITED
- Current Assignee: Baidu USA LLC,KUNLUNXIN TECHNOLOGY (BEIJING) COMPANY LIMITED
- Current Assignee Address: US CA Sunnyvale; CN Beijing
- Agency: Womble Bond Dickinson (US) LLP
- Main IPC: G06F12/06
- IPC: G06F12/06 ; G06N20/10 ; G06F9/50

Abstract:
A method to transfer an artificial intelligence (AI) model includes identifying a plurality of layers of an AI model, wherein each layer of the plurality of layers is associated with a memory address. The method further includes randomizing the memory address associated with each layer of the plurality of layers, and transferring the plurality of layers with the randomized memory addresses to a data processing accelerator to execute the AI model.
Public/Granted literature
- US20210390047A1 METHOD FOR AI MODEL TRANSFERRING WITH ADDRESS RANDOMIZATION Public/Granted day:2021-12-16
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