ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2101.12204
  4. Cited By
Federated Multi-Armed Bandits

Federated Multi-Armed Bandits

28 January 2021
Chengshuai Shi
Cong Shen
    FedML
ArXivPDFHTML

Papers citing "Federated Multi-Armed Bandits"

21 / 21 papers shown
Title
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation
Muhammad Irfan Khan
Elina Kontio
Suleiman A. Khan
Mojtaba Jafaritadi
FedML
46
0
0
31 Dec 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
51
1
0
19 Apr 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance
Wenqi Wei
Ling Liu
25
16
0
02 Feb 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
21
0
0
26 Dec 2023
Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal
  Individual Regret and Constant Communication Costs
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
36
5
0
08 Aug 2023
Communication-Efficient Collaborative Regret Minimization in Multi-Armed
  Bandits
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov
Qin Zhang
19
1
0
26 Jan 2023
Decision Market Based Learning For Multi-agent Contextual Bandit
  Problems
Decision Market Based Learning For Multi-agent Contextual Bandit Problems
Wenlong Wang
T. Pfeiffer
16
1
0
01 Dec 2022
Federated Best Arm Identification with Heterogeneous Clients
Federated Best Arm Identification with Heterogeneous Clients
Zhirui Chen
P. Karthik
Vincent Y. F. Tan
Yeow Meng Chee
FedML
27
8
0
14 Oct 2022
Federated Online Clustering of Bandits
Federated Online Clustering of Bandits
Xutong Liu
Haoruo Zhao
Tong Yu
Shuai Li
John C. S. Lui
FedML
20
14
0
31 Aug 2022
Parallel Best Arm Identification in Heterogeneous Environments
Parallel Best Arm Identification in Heterogeneous Environments
Nikolai Karpov
Qin Zhang
36
8
0
16 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
27
6
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
20
13
0
12 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
24
4
0
27 Jun 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning
DELTA: Diverse Client Sampling for Fasting Federated Learning
Lung-Chuang Wang
Yongxin Guo
Tao R. Lin
Xiaoying Tang
FedML
23
21
0
27 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
25
13
0
09 May 2022
Byzantine-Robust Federated Linear Bandits
Byzantine-Robust Federated Linear Bandits
Ali Jadbabaie
Haochuan Li
Jian Qian
Yi Tian
FedML
21
12
0
03 Apr 2022
Hierarchical Bayesian Bandits
Hierarchical Bayesian Bandits
Joey Hong
B. Kveton
Manzil Zaheer
Mohammad Ghavamzadeh
FedML
39
37
0
12 Nov 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient
  Distributed Artificial Intelligence
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
26
86
0
04 May 2021
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
139
83
0
24 Oct 2020
FedPAQ: A Communication-Efficient Federated Learning Method with
  Periodic Averaging and Quantization
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
Amirhossein Reisizadeh
Aryan Mokhtari
Hamed Hassani
Ali Jadbabaie
Ramtin Pedarsani
FedML
162
760
0
28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,685
0
14 Apr 2018
1