APPARATUS AND METHOD FOR DISTRIBUTED MODEL TRAINING, DEVICE, AND COMPUTER READABLE STORAGE MEDIUM
Patent №
US 12,675,729
Granted
2026-07-07
Filed 2021
Owner
Beijing Baidu Netcom Science and Technology Co., Ltd.
Lab
—
AI components
0
Assignment
None on record
Dataset
AIPD
Application
17351194
The present disclosure discloses an apparatus and method for distributedly training a model, an electronic device, and a computer readable storage medium. The apparatus may include: a distributed reader, a distributed trainer and a distributed parameter server that are mutually independent. A reader in the distributed reader is configured to acquire a training sample, and load the acquired training sample to a corresponding trainer in the distributed trainer; the trainer in the distributed trainer is configured to perform model training based on the loaded training sample to obtain gradient information; and a parameter server in the distributed parameter server is configured to update a parameter of an initial model based on the gradient information of the distributed trainer to obtain a trained target model.
Ownership
Beijing Baidu Netcom Science and Technology Co., Ltd.