Distributed Differential Privacy in Multi-Armed Bandits

12 June 2022

Papers citing "Distributed Differential Privacy in Multi-Armed Bandits"

12 / 12 papers shown

Title
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao Ruiquan Huang Jing Yang FedML 30 0 0 27 Sep 2024
Privacy Preserving Reinforcement Learning for Population Processes Samuel Yang-Zhao Kee Siong Ng 21 1 0 25 Jun 2024
FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits Sunrit Chakraborty Saptarshi Roy Debabrota Basu FedML 27 1 0 22 May 2024
Fixed-Budget Differentially Private Best Arm Identification Zhirui Chen P. Karthik Yeow Meng Chee Vincent Y. F. Tan 35 0 0 17 Jan 2024
Federated Linear Contextual Bandits with User-level Differential Privacy Ruiquan Huang Huanyu Zhang Luca Melis Milan Shen Meisam Hajzinia J. Yang FedML 20 11 0 08 Jun 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards Yulian Wu Xingyu Zhou Sayak Ray Chowdhury Di Wang 20 2 0 01 Jun 2023
On Differentially Private Federated Linear Contextual Bandits Xingyu Zhou Sayak Ray Chowdhury FedML 30 15 0 27 Feb 2023
On Private and Robust Bandits Yulian Wu Xingyu Zhou Youming Tao Di Wang 10 5 0 06 Feb 2023
(Private) Kernelized Bandits with Distributed Biased Feedback Fengjiao Li Xingyu Zhou Bo Ji 25 5 0 28 Jan 2023
Differentially Private Linear Bandits with Partial Distributed Feedback Fengjiao Li Xingyu Zhou Bo Ji FedML 13 13 0 12 Jul 2022
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 37 55 0 24 Sep 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 136 420 0 29 Nov 2018