Federated Multi-armed Bandits with Personalization

25 February 2021

Chengshuai Shi

Papers citing "Federated Multi-armed Bandits with Personalization"

50 / 61 papers shown

Title
Near Optimal Best Arm Identification for Clustered Bandits Yash Nikhil Karamchandani Avishek Ghosh 66 0 0 15 May 2025
Steerable Chatbots: Personalizing LLMs with Preference-Based Activation Steering Jessica Y. Bo Tianyu Xu Ishan Chatterjee Katrina Passarella-Ward Achin Kulshrestha D Shin LLMSV 128 2 0 07 May 2025
Learning with Limited Shared Information in Multi-agent Multi-armed Bandit Junning Shao Siwei Wang Zhixuan Fang 179 0 0 24 Feb 2025
Decentralized Upper Confidence Bound Algorithms for Homogeneous Multi-Agent Multi-Armed Bandits Jingxuan Zhu Ji Liu Christopher S. Smith Alec Koppel Ji Liu 82 1 0 31 Dec 2024
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation Xianzhi Zhang Yipeng Zhou Di Wu Di Wu Pengshan Liao Mohsen Guizani Michael Sheng 102 0 0 04 Dec 2024
Differentially-Private Collaborative Online Personalized Mean Estimation Yauhen Yakimenka Chung-Wei Weng Hsuan-Yin Lin E. Rosnes J. Kliewer FedML 86 1 0 11 Nov 2024
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao Ruiquan Huang Jing Yang FedML 74 0 0 27 Sep 2024
$Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation$ Federated $\mathcal{X}$ -armed Bandit with Flexible Personalisation Ali Arabzadeh James A. Grant David S. Leslie FedML 37 0 0 11 Sep 2024
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning Tanapol Kosolwattana Huazheng Wang Raed Al Kontar Ying Lin FedML 70 0 0 30 May 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 114 1 0 19 Apr 2024
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness Nikola Pavlovic Sudeep Salgia Qing Zhao 73 1 0 20 Feb 2024
Harnessing the Power of Federated Learning in Federated Contextual Bandits Chengshuai Shi Ruida Zhou Kun Yang Cong Shen FedML 60 0 0 26 Dec 2023
Optimal Regret Bounds for Collaborative Learning in Bandits Amitis Shidani Sattar Vakili 47 0 0 15 Dec 2023
Distributed Optimization via Kernelized Multi-armed Bandits Ayush Rai Shaoshuai Mou 59 0 0 07 Dec 2023
Federated Online and Bandit Convex Optimization Kumar Kshitij Patel Lingxiao Wang Aadirupa Saha Nathan Srebro FedML 75 9 0 29 Nov 2023
Heterogeneous federated collaborative filtering using FAIR: Federated Averaging in Random Subspaces Aditya Desai Benjamin Meisburger Zichang Liu Anshumali Shrivastava FedML 45 1 0 03 Nov 2023
Federated Linear Bandits with Finite Adversarial Actions Li Fan Ruida Zhou Chao Tian Cong Shen FedML 121 3 0 02 Nov 2023
Personalized Federated X -armed Bandit Wenjie Li Qifan Song Jean Honorio 18 0 0 25 Oct 2023
Pure Exploration in Asynchronous Federated Bandits Zichen Wang Chuanhao Li Chenyu Song Lianghui Wang Quanquan Gu Huazheng Wang FedML 64 3 0 17 Oct 2023
Federated Multi-Objective Learning Haibo Yang Zhuqing Liu Jia-Wei Liu Chaosheng Dong Michinari Momma FedML 108 10 0 15 Oct 2023
Byzantine-Resilient Decentralized Multi-Armed Bandits Jingxuan Zhu Alec Koppel Alvaro Velasquez Ji Liu 73 6 0 11 Oct 2023
Incentivized Communication for Federated Bandits Zhepei Wei Chuanhao Li Haifeng Xu Hongning Wang FedML 78 4 0 21 Sep 2023
Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs L. Yang Xuchuang Wang Mohammad Hajiesmaili Lijun Zhang John C. S. Lui Don Towsley 67 5 0 08 Aug 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
Large-Scale Distributed Learning via Private On-Device Locality-Sensitive Hashing Tahseen Rabbani Marco Bornstein Fu-Hui Huang 35 2 0 05 Jun 2023
Reward Teaching for Federated Multi-armed Bandits Chengshuai Shi Wei Xiong Cong Shen Jing Yang FedML 62 1 0 03 May 2023
Federated Learning for Heterogeneous Bandits with Unobserved Contexts Jiabin Lin Shana Moothedath FedML 43 2 0 29 Mar 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits Y. Chen L. Yang Xuchuang Wang Xutong Liu Mohammad Hajiesmaili John C. S. Lui Don Towsley 89 12 0 15 Feb 2023
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits Nikolai Karpov Qin Zhang 73 2 0 26 Jan 2023
Doubly Adversarial Federated Bandits Jialin Yi Milan Vojnović FedML 51 4 0 22 Jan 2023
Distributed Linear Bandits under Communication Constraints Sudeep Salgia Qing Zhao 79 7 0 04 Nov 2022
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 75 3 0 27 Oct 2022
Vertical Federated Linear Contextual Bandits Zeyu Cao Zhipeng Liang Shu Zhen Zhang Hang Li Ouyang Wen Yu Rong P. Zhao Bing Wu FedML 64 1 0 20 Oct 2022
Federated Best Arm Identification with Heterogeneous Clients Zhirui Chen P. Karthik Vincent Y. F. Tan Yeow Meng Chee FedML 89 8 0 14 Oct 2022
Collaborative Algorithms for Online Personalized Mean Estimation Mahsa Asadi A. Bellet Odalric-Ambrym Maillard Marc Tommasi FedML 141 4 0 24 Aug 2022
Almost Cost-Free Communication in Federated Best Arm Identification Kota Srinivas Reddy P. Karthik Vincent Y. F. Tan FedML 88 11 0 19 Aug 2022
Communication-Efficient Collaborative Best Arm Identification Nikolai Karpov Qin Zhang FedML 61 6 0 18 Aug 2022
Parallel Best Arm Identification in Heterogeneous Environments Nikolai Karpov Qin Zhang 129 8 0 16 Jul 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 82 5 0 16 Jul 2022
Differentially Private Linear Bandits with Partial Distributed Feedback Fengjiao Li Xingyu Zhou Bo Ji FedML 87 15 0 12 Jul 2022
Differentially Private Federated Combinatorial Bandits with Constraints Sambhav Solanki Samhita Kanaparthy Sankarshan Damle Sujit Gujar FedML 58 4 0 27 Jun 2022
Adaptive Expert Models for Personalization in Federated Learning Martin Isaksson Edvin Listo Zec R. Coster D. Gillblad vSarunas Girdzijauskas FedML 54 5 0 15 Jun 2022
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds A. Mitra Arman Adibi George J. Pappas Hamed Hassani 70 7 0 06 Jun 2022
Near-Optimal Collaborative Learning in Bandits Clémence Réda Sattar Vakili E. Kaufmann FedML 107 20 0 31 May 2022
One Policy is Enough: Parallel Exploration with a Single Policy is Near-Optimal for Reward-Free Reinforcement Learning Pedro Cisneros-Velarde Boxiang Lyu Oluwasanmi Koyejo Mladen Kolar OffRL 51 3 0 31 May 2022
Federated X-Armed Bandit Wenjie Li Qifan Song Jean Honorio Guang Lin FedML 95 4 0 30 May 2022
Federated Neural Bandits Zhongxiang Dai Yao Shu Arun Verma Flint Xiaofeng Fan Bryan Kian Hsiang Low Patrick Jaillet FedML 117 15 0 28 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 64 13 0 09 May 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 93 12 0 03 Apr 2022
Linear Stochastic Bandits over a Bit-Constrained Channel A. Mitra Hamed Hassani George J. Pappas 79 8 0 02 Mar 2022