Multi-Armed Bandits with Local Differential Privacy

6 July 2020

Papers citing "Multi-Armed Bandits with Local Differential Privacy"

35 / 35 papers shown

Title
Square $χ$ PO: Differentially Private and Robust $χ^2$ -Preference Optimization in Offline Direct Alignment Xingyu Zhou Yulian Wu Wenqian Weng Francesco Orabona 61 0 0 27 May 2025
Faster Rates for Private Adversarial Bandits Hilal Asi Vinod Raman Kunal Talwar PICV FedML 57 0 0 27 May 2025
QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$ -Armed Bandits Benjamin Howson Sarah Filippi Ciara Pike-Burke 72 1 0 31 Oct 2024
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao Ruiquan Huang Jing Yang FedML 69 0 0 27 Sep 2024
Privacy Preserving Reinforcement Learning for Population Processes Samuel Yang-Zhao Kee Siong Ng 53 1 0 25 Jun 2024
Differentially Private High Dimensional Bandits Apurv Shukla 49 0 0 06 Feb 2024
Privacy Preserving Adaptive Experiment Design Jiachun Li Kaining Shi David Simchi-Levi 75 1 0 16 Jan 2024
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study Alexander Galozy Sadi Alawadi V. Kebande Sławomir Nowaczyk 108 1 0 30 Sep 2023
Thompson Sampling under Bernoulli Rewards with Local Differential Privacy Bo Jiang Tianchi Zhao Ming Li 102 0 0 03 Jul 2023
Federated Linear Contextual Bandits with User-level Differential Privacy Ruiquan Huang Huanyu Zhang Luca Melis Milan Shen Meisam Hajzinia J. Yang FedML 54 12 0 08 Jun 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards Yulian Wu Xingyu Zhou Sayak Ray Chowdhury Di Wang 60 2 0 01 Jun 2023
On Differentially Private Federated Linear Contextual Bandits Xingyu Zhou Sayak Ray Chowdhury FedML 102 15 0 27 Feb 2023
On Private and Robust Bandits Yulian Wu Xingyu Zhou Youming Tao Di Wang 74 7 0 06 Feb 2023
Concurrent Shuffle Differential Privacy Under Continual Observation J. Tenenbaum Haim Kaplan Yishay Mansour Uri Stemmer FedML 65 2 0 29 Jan 2023
Dynamic Global Sensitivity for Differentially Private Contextual Bandits Huazheng Wang Dave Zhao Hongning Wang 68 5 0 30 Aug 2022
Differentially Private Linear Bandits with Partial Distributed Feedback Fengjiao Li Xingyu Zhou Bo Ji FedML 77 14 0 12 Jul 2022
Differentially Private Stochastic Linear Bandits: (Almost) for Free Osama A. Hanna Antonious M. Girgis Christina Fragouli Suhas Diggavi FedML 75 18 0 07 Jul 2022
Distributed Differential Privacy in Multi-Armed Bandits Sayak Ray Chowdhury Xingyu Zhou 86 13 0 12 Jun 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 100 48 0 18 Feb 2022
Shuffle Private Linear Contextual Bandits Sayak Ray Chowdhury Xingyu Zhou FedML 85 27 0 11 Feb 2022
Differentially Private Reinforcement Learning with Linear Function Approximation Xingyu Zhou 90 26 0 18 Jan 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 74 22 0 20 Dec 2021
Privacy Amplification via Shuffling for Linear Contextual Bandits Evrard Garcelon Kamalika Chaudhuri Vianney Perchet Matteo Pirotta FedML 111 19 0 11 Dec 2021
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits Tan Li Linqi Song FedML 57 24 0 02 Nov 2021
Differential Privacy in Personalized Pricing with Nonparametric Demand Models Xi Chen Sentao Miao Yining Wang 73 27 0 10 Sep 2021
Optimal Order Simple Regret for Gaussian Process Bandits Sattar Vakili N. Bouziani Sepehr Jalali A. Bernacchia Da-shan Shiu 99 55 0 20 Aug 2021
Generalized Linear Bandits with Local Differential Privacy Yuxuan Han Zhipeng Liang Yang Wang Jiheng Zhang 87 32 0 07 Jun 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model J. Tenenbaum Haim Kaplan Yishay Mansour Uri Stemmer FedML 89 29 0 05 Jun 2021
Cascading Bandit under Differential Privacy Kun Wang Jing Dong Baoxiang Wang Shuai Li Shuo Shao 69 1 0 24 May 2021
A Distributed Privacy-Preserving Learning Dynamics in General Social Networks Youming Tao Shuzhen Chen Feng Li Dongxiao Yu Jiguo Yu Hao Sheng FedML 38 3 0 15 Nov 2020
Local Differential Privacy for Regret Minimization in Reinforcement Learning Evrard Garcelon Vianney Perchet Ciara Pike-Burke Matteo Pirotta 92 37 0 15 Oct 2020
Local Differential Privacy for Bayesian Optimization Xingyu Zhou Jian Tan 81 25 0 13 Oct 2020
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 96 88 0 11 Oct 2020
Privacy-Preserving Dynamic Personalized Pricing with Demand Learning Xi Chen D. Simchi-Levi Yining Wang 140 62 0 27 Sep 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 90 146 0 09 Aug 2020