Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang...
TL;DR本研究提出 SeSoRec 框架,并基于 Secret Sharing based Matrix Multiplication 协议优化其算法。实证结果表明,SeSoRec 对于保护用户数据和提高推荐性能是有效的。
Abstract
Nowadays, privacy preserving machine learning has been drawing much attention
in both industry and academy. Meanwhile, recommender systems have been
extensively adopted by many commercial platforms (e.g. Amazon)