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Jun, 2020
局部差分隐私(情境型)Bandits学习
Locally Differentially Private (Contextual) Bandits Learning
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Kai Zheng, Tianle Cai, Weiran Huang, Zhenguo Li, Liwei Wang
TL;DR
本文研究局部差分隐私策略下的赌博机学习。我们提出了一种简单的黑盒归约框架,可以解决大量的无上下文赌博机学习问题,同时保证局部差分隐私。这个框架在真实应用中更具吸引力。此外,我们将其扩展到广义线性赌博机,并推测它是近乎最优的。
Abstract
We study
locally differentially private
(LDP)
bandits learning
in this paper. First, we propose simple black-box reduction frameworks that can solve a large family of context-free
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