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Truthful Incentive Mechanism for Federated Learning with Crowdsourced
  Data Labeling

Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling

31 January 2023
Yuxi Zhao
Xiaowen Gong
S. Mao
    FedML
ArXivPDFHTML

Papers citing "Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling"

5 / 5 papers shown
Title
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information
Yun Xin
Jianfeng Lu
Shuqin Cao
Gang Li
Haozhao Wang
Guanghui Wen
FedML
34
0
0
09 May 2025
Personalized Federated Learning with Server-Side Information
Personalized Federated Learning with Server-Side Information
Jaehun Song
Min Hwan Oh
Hyung-Sin Kim
FedML
35
8
0
23 May 2022
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
82
110
0
04 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
117
123
0
24 Oct 2020
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
182
683
0
07 Dec 2010
1