Federated Linear Contextual Bandits with User-level Differential Privacy

8 June 2023

Papers citing "Federated Linear Contextual Bandits with User-level Differential Privacy"

10 / 10 papers shown

Title
Locally Private Nonparametric Contextual Multi-armed Bandits Yuheng Ma Feiyu Jiang Zifeng Zhao Hanfang Yang Y. Yu 49 0 0 11 Mar 2025
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 23 0 0 26 Dec 2023
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits Achraf Azize D. Basu 30 21 0 06 Sep 2022
Dynamic Global Sensitivity for Differentially Private Contextual Bandits Huazheng Wang Dave Zhao Hongning Wang 24 5 0 30 Aug 2022
Communication Efficient Federated Learning for Generalized Linear Bandits Chuanhao Li Hongning Wang FedML 28 13 0 02 Feb 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits Chuanhao Li Hongning Wang FedML 24 36 0 04 Oct 2021
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 63 92 0 28 Jan 2021
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 152 83 0 24 Oct 2020
The Elliptical Potential Lemma Revisited Alexandra Carpentier Claire Vernade Yasin Abbasi-Yadkori 111 21 0 20 Oct 2020
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 72 149 0 01 May 2018