METHOD AND APPARATUS FOR SPLIT LEARNING, ELECTRONIC DEVICE AND MEDIUM

    公开(公告)号:US20240311647A1

    公开(公告)日:2024-09-19

    申请号:US18604023

    申请日:2024-03-13

    CPC classification number: G06N3/098 G06N3/045

    Abstract: A method according to embodiments of the present disclosure includes generating a multi-classification label set corresponding to an object set based on a binary classification label set corresponding to the object set. The method further includes receiving an embedding vector set from a non-label party model, wherein an embedding vector in the embedding vector set is generated based on a feature of an object in the object set. The method further includes generating a label party model based on the embedding vector set and the multi-classification label set, wherein the label party model includes a first network and a second network. The method according to embodiments of the present disclosure enables a label party to protect privacy of an original label set under the condition of joint training with a non-label party, and prevent the non-label party from inferring original labels corresponding to original features by various means.

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