Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2402.04485
Cited By
Incentivized Truthful Communication for Federated Bandits
7 February 2024
Zhepei Wei
Chuanhao Li
Tianze Ren
Haifeng Xu
Hongning Wang
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Incentivized Truthful Communication for Federated Bandits"
9 / 9 papers shown
Title
Mechanisms that Incentivize Data Sharing in Federated Learning
Sai Praneeth Karimireddy
Wenshuo Guo
Michael I. Jordan
FedML
54
47
0
10 Jul 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits
Jiafan He
Tianhao Wang
Yifei Min
Quanquan Gu
FedML
55
33
0
07 Jul 2022
Communication Efficient Distributed Learning for Kernelized Contextual Bandits
Chuanhao Li
Huazheng Wang
Mengdi Wang
Hongning Wang
42
15
0
10 Jun 2022
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
93
92
0
28 Jan 2021
Federated Bandit: A Gossiping Approach
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
178
83
0
24 Oct 2020
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey
Alex Pentland
FedML
49
116
0
22 Oct 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach
T. Le
N. H. Tran
Y. Tun
Minh N. H. Nguyen
Shashi Raj Pandey
Zhu Han
Choong Seon Hong
FedML
36
153
0
22 Sep 2020
Decentralized Multi-player Multi-armed Bandits with No Collision Information
Chengshuai Shi
Wei Xiong
Cong Shen
Jing Yang
38
36
0
29 Feb 2020
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Rishabh K. Iyer
J. Bilmes
39
258
0
08 Nov 2013
1