公开(公告)号：US20220237519A1

公开(公告)日：2022-07-28

申请号：US17317908

申请日：2021-05-12

申请人： Xidian University ,  Xi'an Xidian Blockchain Technology CO., Ltd.

发明人： Lichuan Ma ,  Qingqi Pei ,  Zijun Huang

IPC分类号： G06N20/10 ,  G06N7/00

摘要： A distributed support vector machine privacy-preserving method includes: dividing a secret through secret sharing among all participating entities, iteratively exchanging a part of the information divided by the participating entities, and solving sub-problems locally; performing an iteration until a convergence is reached to find a global optimal solution; and in consideration of the generality of the privacy-preserving method, adopting a privacy-preserving method based on a vertical data distribution and a privacy-preserving method based on a horizontal data distribution, respectively; wherein the participating entities do not trust each other, and interact through a multi-party computation for local training. The method is applied to an honest-but-curious scenario, and uses the idea of data division to perform local computation through the interaction of part of the data among users to finally reconstruct the secret to preserve data privacy.