论文标题
您在在线学习中为隐私付费吗？
Do you pay for Privacy in Online learning?
论文作者
论文摘要
在错误绑定的模型中，在线学习是学习理论中最基本的概念之一。相反，差异隐私是机器学习社区中最广泛使用的隐私统计概念。因此，很明显，定义在线差异化学习的学习问题引起了极大的兴趣。在本文中，我们提出了一个问题，即从学习的角度来看，这两个问题是否等同，即在在线学习框架中免费隐私？
Online learning, in the mistake bound model, is one of the most fundamental concepts in learning theory. Differential privacy, instead, is the most widely used statistical concept of privacy in the machine learning community. It is thus clear that defining learning problems that are online differentially privately learnable is of great interest. In this paper, we pose the question on if the two problems are equivalent from a learning perspective, i.e., is privacy for free in the online learning framework?
