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. 2205.14309
  4. Cited By
Federated Neural Bandits

Federated Neural Bandits

28 May 2022
Zhongxiang Dai
Yao Shu
Arun Verma
Flint Xiaofeng Fan
Bryan Kian Hsiang Low
P. Jaillet
    FedML
ArXivPDFHTML

Papers citing "Federated Neural Bandits"

8 / 8 papers shown
Title
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
Neural Dueling Bandits: Preference-Based Optimization with Human Feedback
Arun Verma
Zhongxiang Dai
Xiaoqiang Lin
P. Jaillet
K. H. Low
27
5
0
24 Jul 2024
Communication-Efficient Collaborative Regret Minimization in Multi-Armed
  Bandits
Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits
Nikolai Karpov
Qin Zhang
14
1
0
26 Jan 2023
Communication Efficient Federated Learning for Generalized Linear
  Bandits
Communication Efficient Federated Learning for Generalized Linear Bandits
Chuanhao Li
Hongning Wang
FedML
8
13
0
02 Feb 2022
Evaluation of Hyperparameter-Optimization Approaches in an Industrial
  Federated Learning System
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Stephan Holly
Thomas Hiessl
Safoura Rezapour Lakani
Daniel Schall
C. Heitzinger
J. Kemnitz
FedML
21
17
0
15 Oct 2021
Asynchronous Upper Confidence Bound Algorithms for Federated Linear
  Bandits
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
Chuanhao Li
Hongning Wang
FedML
16
35
0
04 Oct 2021
Federated Multi-Armed Bandits
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
50
91
0
28 Jan 2021
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
131
83
0
24 Oct 2020
Federated Bayesian Optimization via Thompson Sampling
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
79
109
0
20 Oct 2020
1