This paper studies the privacy-preserving adaptive ranking problem for multi-armed-bandit crowdsourcing, where according to the crowdsourced data, the arms are ...

Abstract—This paper studies the privacy-preserving adaptive ranking problem for multi-armed-bandit crowdsourcing, where according to the crowdsourced data, ...

This paper studies the privacy-preserving adaptive ranking problem for multi-armed-bandit crowdsourcing, where according to the crowdsourced data, ...

Request PDF | On Jun 10, 2022, Shuzhen Chen and others published PPAR: A Privacy-Preserving Adaptive Ranking Algorithm for Multi-Armed-Bandit Crowdsourcing ...

PPAR: A Privacy-Preserving Adaptive Ranking Algorithm for Multi-Armed-Bandit Crowdsourcing. S. Chen, D. Yu, F. Li, Z. Zou, W. Liang, and X. Cheng.

为了提高排序服务的质量，本文提出了一种保护隐私的自适应排序算法PPAR，该算法在保证差分隐私的前提下，能以较高的概率解决排序问题。所提出的算法的总成本为${\mathcal{O}}( ...

PPAR: A privacy-preserving adaptive ranking algorithm for multi-armed-bandit crowdsourcing. S Chen, D Yu, F Li, Z Zou, W Liang, X Cheng. 2022 IEEE/ACM 30th ...

PPAR: A privacy-preserving adaptive ranking algorithm for multi-armed-bandit crowdsourcing. S Chen, D Yu, F Li, Z Zou, W Liang, X Cheng. 2022 IEEE/ACM 30th ...

Decentralized Wireless Federated Learning With Differential Privacy ... PPAR: A Privacy-Preserving Adaptive Ranking Algorithm for Multi-Armed-Bandit Crowdsourcing.

PPAR: A privacy-preserving adaptive ranking algorithm for multi-armed-bandit crowdsourcing. S Chen, D Yu, F Li, Z Zou, W Liang, X Cheng. 2022 IEEE/ACM 30th ...