-
公开(公告)号:US20230143789A1
公开(公告)日:2023-05-11
申请号:US18149462
申请日:2023-01-03
Applicant: Lemon Inc.
Inventor: Shangyu Xie , Jiankai Sun , Xin Yang , Yuanshun Yao , Tianyi Liu , Taiqing Wang
Abstract: Split learning is provided to train a composite neural network (CNN) model that is split into first and second submodels, including receiving a noise-laden backpropagation gradient, training the surrogate submodel by optimizing a gradient distance loss, and computing an updated dummy label using the first submodel and the trained surrogate submodel to infer label information of the second submodel. Noise can be added to a label of the second submodel or a shared backpropagation gradient to protect the label information.