论文标题
具有隐私基因组分析的高性能逻辑回归
High Performance Logistic Regression for Privacy-Preserving Genome Analysis
论文作者
论文摘要
在本文中，我们提出了一个安全的逻辑回归训练协议及其实施，并通过一个新的子协议安全地计算激活功能。据我们所知，我们介绍了最快的安全多方计算实现，用于在分布在局部网络上的高维基因组数据上的训练逻辑回归模型。
In this paper, we present a secure logistic regression training protocol and its implementation, with a new subprotocol to securely compute the activation function. To the best of our knowledge, we present the fastest existing secure Multi-Party Computation implementation for training logistic regression models on high dimensional genome data distributed across a local area network.
