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Incentive Mechanisms for Federated Learning: From Economic and Game
  Theoretic Perspective

Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective

20 November 2021
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
    FedML
    AI4CE
ArXivPDFHTML

Papers citing "Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective"

15 / 15 papers shown
Title
Federated learning, ethics, and the double black box problem in medical AI
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley
Anders Søgaard
Angela Ballantyne
Ruben Pauwels
FedML
58
0
0
29 Apr 2025
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game Theory
Alessandro Buratto
Elia Guerra
M. Miozzo
Paolo Dini
Leonardo Badia
43
1
0
27 Mar 2025
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized
  Federated Learning
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
Zhilong Li
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Mengmeng Chen
Qiqi Liu
Qicheng Lao
Han Yu
FedML
32
1
0
09 Oct 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein
Amrit Singh Bedi
Abdirisak Mohamed
Furong Huang
FedML
36
0
0
22 May 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
15
0
30 Jan 2024
A Framework for Incentivized Collaborative Learning
A Framework for Incentivized Collaborative Learning
Xinran Wang
Qi Le
Ahmad Faraz Khan
Jie Ding
A. Anwar
FedML
37
4
0
26 May 2023
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Florian E. Dorner
Nikola Konstantinov
Georgi Pashaliev
Martin Vechev
FedML
22
5
0
25 May 2023
A Game-theoretic Framework for Privacy-preserving Federated Learning
A Game-theoretic Framework for Privacy-preserving Federated Learning
Xiaojin Zhang
Lixin Fan
Si-Yi Wang
Wenjie Li
Kai Chen
Qiang Yang
FedML
21
4
0
11 Apr 2023
Free-Rider Games for Federated Learning with Selfish Clients in NextG
  Wireless Networks
Free-Rider Games for Federated Learning with Selfish Clients in NextG Wireless Networks
Y. Sagduyu
FedML
22
8
0
21 Dec 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic
  Literature Review
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
Leon Witt
Mathis Heyer
Kentaroh Toyoda
Wojciech Samek
Dan Li
FedML
33
47
0
07 May 2022
Online Auction-Based Incentive Mechanism Design for Horizontal Federated
  Learning with Budget Constraint
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint
Jingwen Zhang
Yuezhou Wu
Rong Pan
FedML
65
15
0
22 Jan 2022
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A
  Hierarchical Nested Personalized Federated Learning Approach
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach
Su Wang
Seyyedali Hosseinalipour
M. Gorlatova
Christopher G. Brinton
M. Chiang
30
36
0
29 Jun 2021
Efficient Client Contribution Evaluation for Horizontal Federated
  Learning
Efficient Client Contribution Evaluation for Horizontal Federated Learning
Jie Zhao
Xinghua Zhu
Jianzong Wang
Jing Xiao
FedML
26
28
0
26 Feb 2021
Bandwidth Allocation for Multiple Federated Learning Services in
  Wireless Edge Networks
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Jie Xu
Heqiang Wang
Lixing Chen
FedML
56
43
0
10 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
1