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May, 2023
基于二次功能加密的垂直联邦学习安全训练
Quadratic Functional Encryption for Secure Training in Vertical Federated Learning
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Shuangyi Chen, Anuja Modi, Shweta Agrawal, Ashish Khisti
TL;DR
本文研究如何在垂直联邦学习中，使用二次型函数加密来训练广义线性模型，避免信息泄露问题。
Abstract
vertical federated learning
(VFL) enables the collaborative training of
machine learning
(ML) models in settings where the data is distributed amongst multiple parties who wish to protect the
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