Invention Grant
- Patent Title: Systems and methods for distributed training of deep learning models
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Application No.: US18145004Application Date: 2022-12-21
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Publication No.: US11769059B2Publication Date: 2023-09-26
- Inventor: David Moloney
- Applicant: Movidius Limited
- Applicant Address: NL Schiphol-Rijk
- Assignee: Movidius Limited
- Current Assignee: Movidius Limited
- Current Assignee Address: NL Schiphol-Rijk
- Agency: Hanley, Flight & Zimmerman, LLC
- Main IPC: G06E1/00
- IPC: G06E1/00 ; G06E3/00 ; G06G7/00 ; G06N3/02 ; G06N3/084 ; G06N3/08 ; H04L67/10 ; G06F18/214 ; G06N3/045 ; G06V10/764 ; G06V10/82 ; G06V10/44 ; G06V10/94 ; G06V10/96

Abstract:
Systems and methods for distributed training of deep learning models are disclosed. An example local device to train deep learning models includes a reference generator to label input data received at the local device to generate training data, a trainer to train a local deep learning model and to transmit the local deep learning model to a server that is to receive a plurality of local deep learning models from a plurality of local devices, the server to determine a set of weights for a global deep learning model, and an updater to update the local deep learning model based on the set of weights received from the server.
Public/Granted literature
- US20230127542A1 SYSTEMS AND METHODS FOR DISTRIBUTED TRAINING OF DEEP LEARNING MODELS Public/Granted day:2023-04-27
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