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. 2402.04485
  4. Cited By
Incentivized Truthful Communication for Federated Bandits

Incentivized Truthful Communication for Federated Bandits

7 February 2024
Zhepei Wei
Chuanhao Li
Tianze Ren
Haifeng Xu
Hongning Wang
    FedML
ArXivPDFHTML

Papers citing "Incentivized Truthful Communication for Federated Bandits"

5 / 5 papers shown
Title
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
Asynchronous Upper Confidence Bound Algorithms for Federated Linear
  Bandits
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
Chuanhao Li
Hongning Wang
FedML
16
36
0
04 Oct 2021
Federated Multi-Armed Bandits
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
53
92
0
28 Jan 2021
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative Machine Learning with Incentive-Aware Model Rewards
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
FedML
109
123
0
24 Oct 2020
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
134
83
0
24 Oct 2020
1