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weiran-huang authored Jun 4, 2022
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# [LDP LinUCB Description](#contents)

![Platform](https://img.shields.io/badge/platform-mindspore-blue)
![Top Language](https://img.shields.io/github/languages/top/huang-research-group/LDPbandit2020)
![Latest Release](https://img.shields.io/github/v/release/huang-research-group/LDPbandit2020)
[![Platform](https://img.shields.io/badge/platform-mindspore-blue)](https://www.mindspore.cn/install/en)
[![Top Language](https://img.shields.io/github/languages/top/huang-research-group/LDPbandit2020)](https://github.com/huang-research-group/LDPbandit2020/search?l=python)
[![Latest Release](https://img.shields.io/github/v/release/huang-research-group/LDPbandit2020)](https://github.com/huang-research-group/LDPbandit2020/releases)

Locally Differentially Private (LDP) LinUCB is a variant of LinUCB bandit algorithm with local differential privacy guarantee, which can preserve users' personal data with theoretical guarantee.

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