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Federated Linear Contextual Bandits

Federated Linear Contextual Bandits

27 October 2021
Ruiquan Huang
Weiqiang Wu
Jing Yang
Cong Shen
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Linear Contextual Bandits"

50 / 53 papers shown
Title
On the optimal regret of collaborative personalized linear bandits
On the optimal regret of collaborative personalized linear bandits
Bruce Huang
Ruida Zhou
Lin F. Yang
Suhas Diggavi
5
0
0
19 Jun 2025
Comparative Performance of Collaborative Bandit Algorithms: Effect of
  Sparsity and Exploration Intensity
Comparative Performance of Collaborative Bandit Algorithms: Effect of Sparsity and Exploration Intensity
Eren Ozbay
81
0
0
15 Oct 2024
Federated Online Prediction from Experts with Differential Privacy:
  Separations and Regret Speed-ups
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 X\mathcal{X}X-armed Bandit with Flexible Personalisation
Ali Arabzadeh
James A. Grant
David S. Leslie
FedML
37
0
0
11 Sep 2024
Personalized Federated Learning Techniques: Empirical Analysis
Personalized Federated Learning Techniques: Empirical Analysis
Azal Ahmad Khan
Ahmad Faraz Khan
Haider Ali
A. Anwar
FedML
94
1
0
10 Sep 2024
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous
  Clients
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients
Zhuohua Li
Maoli Liu
J. C. Lui
FedML
80
7
0
05 May 2024
Federated Linear Contextual Bandits with Heterogeneous Clients
Federated Linear Contextual Bandits with Heterogeneous Clients
Ethan Blaser
Chuanhao Li
Hongning Wang
FedML
51
3
0
29 Feb 2024
Order-Optimal Regret in Distributed Kernel Bandits using Uniform
  Sampling with Shared Randomness
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
Nikola Pavlovic
Sudeep Salgia
Qing Zhao
78
1
0
20 Feb 2024
Incentivized Truthful Communication for Federated Bandits
Incentivized Truthful Communication for Federated Bandits
Zhepei Wei
Chuanhao Li
Tianze Ren
Haifeng Xu
Hongning Wang
FedML
58
2
0
07 Feb 2024
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
Decentralized Blockchain-based Robust Multi-agent Multi-armed Bandit
Mengfan Xu
Diego Klabjan
AAML
60
0
0
06 Feb 2024
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Distributed Multi-Task Learning for Stochastic Bandits with Context Distribution and Stage-wise Constraints
Jiabin Lin
Shana Moothedath
80
1
0
21 Jan 2024
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
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
Distributed Optimization via Kernelized Multi-armed Bandits
Distributed Optimization via Kernelized Multi-armed Bandits
Ayush Rai
Shaoshuai Mou
59
0
0
07 Dec 2023
Federated Online and Bandit Convex Optimization
Federated Online and Bandit Convex Optimization
Kumar Kshitij Patel
Lingxiao Wang
Aadirupa Saha
Nathan Srebro
FedML
75
9
0
29 Nov 2023
On the Effect of Defections in Federated Learning and How to Prevent
  Them
On the Effect of Defections in Federated Learning and How to Prevent Them
Minbiao Han
Kumar Kshitij Patel
Han Shao
Lingxiao Wang
FedML
75
3
0
28 Nov 2023
LLMs-augmented Contextual Bandit
LLMs-augmented Contextual Bandit
Ali Baheri
Cecilia Ovesdotter Alm
OffRL
78
1
0
03 Nov 2023
Federated Linear Bandits with Finite Adversarial Actions
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
Personalized Federated X -armed Bandit
Wenjie Li
Qifan Song
Jean Honorio
20
0
0
25 Oct 2023
Pure Exploration in Asynchronous Federated Bandits
Pure Exploration in Asynchronous Federated Bandits
Zichen Wang
Chuanhao Li
Chenyu Song
Lianghui Wang
Quanquan Gu
Huazheng Wang
FedML
69
3
0
17 Oct 2023
Online Clustering of Bandits with Misspecified User Models
Online Clustering of Bandits with Misspecified User Models
Zhiyong Wang
Jize Xie
Xutong Liu
Shuai Li
J. C. Lui
103
13
0
04 Oct 2023
Incentivized Communication for Federated Bandits
Incentivized Communication for Federated Bandits
Zhepei Wei
Chuanhao Li
Haifeng Xu
Hongning Wang
FedML
78
4
0
21 Sep 2023
Regret Lower Bounds in Multi-agent Multi-armed Bandit
Regret Lower Bounds in Multi-agent Multi-armed Bandit
Mengfan Xu
Diego Klabjan
105
1
0
15 Aug 2023
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with
  Heterogeneous Rewards
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards
Mengfan Xu
Diego Klabjan
76
6
0
08 Jun 2023
Federated Linear Contextual Bandits with User-level Differential Privacy
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
Reward Teaching for Federated Multi-armed Bandits
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
Federated Learning for Heterogeneous Bandits with Unobserved Contexts
Jiabin Lin
Shana Moothedath
FedML
48
2
0
29 Mar 2023
An Empirical Evaluation of Federated Contextual Bandit Algorithms
An Empirical Evaluation of Federated Contextual Bandit Algorithms
Alekh Agarwal
H. B. McMahan
Zheng Xu
FedML
100
2
0
17 Mar 2023
On Differentially Private Federated Linear Contextual Bandits
On Differentially Private Federated Linear Contextual Bandits
Xingyu Zhou
Sayak Ray Chowdhury
FedML
102
15
0
27 Feb 2023
Communication-Efficient Collaborative Regret Minimization in Multi-Armed
  Bandits
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov
Qin Zhang
78
2
0
26 Jan 2023
Doubly Adversarial Federated Bandits
Doubly Adversarial Federated Bandits
Jialin Yi
Milan Vojnović
FedML
51
4
0
22 Jan 2023
Distributed Linear Bandits under Communication Constraints
Distributed Linear Bandits under Communication Constraints
Sudeep Salgia
Qing Zhao
79
7
0
04 Nov 2022
Lifelong Bandit Optimization: No Prior and No Regret
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
Vertical Federated Linear Contextual Bandits
Zeyu Cao
Zhipeng Liang
Shu Zhen Zhang
Hang Li
Ouyang Wen
Yu Rong
P. Zhao
Bing Wu
FedML
68
1
0
20 Oct 2022
Distributed Stochastic Bandit Learning with Delayed Context Observation
Distributed Stochastic Bandit Learning with Delayed Context Observation
Jiabin Lin
Shana Moothedath
66
3
0
28 Jul 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users
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
Differentially Private Linear Bandits with Partial Distributed Feedback
Fengjiao Li
Xingyu Zhou
Bo Ji
FedML
90
15
0
12 Jul 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated
  Contextual Linear Bandits
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Jiafan He
Tianhao Wang
Yifei Min
Quanquan Gu
FedML
99
34
0
07 Jul 2022
Differentially Private Federated Combinatorial Bandits with Constraints
Differentially Private Federated Combinatorial Bandits with Constraints
Sambhav Solanki
Samhita Kanaparthy
Sankarshan Damle
Sujit Gujar
FedML
65
4
0
27 Jun 2022
Communication Efficient Distributed Learning for Kernelized Contextual
  Bandits
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
Chuanhao Li
Huazheng Wang
Mengdi Wang
Hongning Wang
64
16
0
10 Jun 2022
Near-Optimal Collaborative Learning in Bandits
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
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
Federated X-Armed Bandit
Wenjie Li
Qifan Song
Jean Honorio
Guang Lin
FedML
97
4
0
30 May 2022
Federated Neural Bandits
Federated Neural Bandits
Zhongxiang Dai
Yao Shu
Arun Verma
Flint Xiaofeng Fan
Bryan Kian Hsiang Low
Patrick Jaillet
FedML
120
15
0
28 May 2022
Distributed Contextual Linear Bandits with Minimax Optimal Communication
  Cost
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost
Sanae Amani
Tor Lattimore
András Gyorgy
Lin F. Yang
FedML
92
10
0
26 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks
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
Byzantine-Robust Federated Linear Bandits
Ali Jadbabaie
Haochuan Li
Jian Qian
Yi Tian
FedML
97
12
0
03 Apr 2022
Linear Stochastic Bandits over a Bit-Constrained Channel
Linear Stochastic Bandits over a Bit-Constrained Channel
A. Mitra
Hamed Hassani
George J. Pappas
88
8
0
02 Mar 2022
Federated Online Sparse Decision Making
ChiHua Wang
Wenjie Li
Guang Cheng
Guang Lin
FedML
63
4
0
27 Feb 2022
Settling the Communication Complexity for Distributed Offline
  Reinforcement Learning
Settling the Communication Complexity for Distributed Offline Reinforcement Learning
Juliusz Krysztof Ziomek
Jun Wang
Yaodong Yang
OffRL
31
4
0
10 Feb 2022
Communication Efficient Federated Learning for Generalized Linear
  Bandits
Communication Efficient Federated Learning for Generalized Linear Bandits
Chuanhao Li
Hongning Wang
FedML
106
14
0
02 Feb 2022
12
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