Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits

4 October 2021

Papers citing "Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits"

8 / 8 papers shown

Title
Federated Combinatorial Multi-Agent Multi-Armed Bandits Fares Fourati Mohamed-Slim Alouini Vaneet Aggarwal FedML 33 5 0 09 May 2024
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients Zhuohua Li Maoli Liu J. C. Lui FedML 32 5 0 05 May 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 21 0 0 26 Dec 2023
Vertical Federated Linear Contextual Bandits Zeyu Cao Zhipeng Liang Shu Zhen Zhang Hang Li Ouyang Wen Yu Rong P. Zhao Bing Wu FedML 19 0 0 20 Oct 2022
Federated Online Clustering of Bandits Xutong Liu Haoruo Zhao Tong Yu Shuai Li John C. S. Lui FedML 27 14 0 31 Aug 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits Jiafan He Tianhao Wang Yifei Min Quanquan Gu FedML 32 32 0 07 Jul 2022
Communication Efficient Federated Learning for Generalized Linear Bandits Chuanhao Li Hongning Wang FedML 22 13 0 02 Feb 2022
Collaborative Pure Exploration in Kernel Bandit Yihan Du Wei Chen Yuko Kuroki Longbo Huang 35 10 0 29 Oct 2021