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Incentive Mechanism Design for Joint Resource Allocation in
  Blockchain-based Federated Learning

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning

18 February 2022
Zhilin Wang
Qin Hu
Ruinian Li
Minghui Xu
Zehui Xiong
    FedML
ArXiv (abs)PDFHTML

Papers citing "Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning"

6 / 6 papers shown
Title
Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection
Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection
Qinjun Fei
Nuria Rodríguez-Barroso
M. V. Luzón
Zhongliang Zhang
Francisco Herrera
FedML
33
0
0
27 May 2025
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered
  by Artificial Intelligence Generated Content
IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
Guangjing Huang
Qiong Wu
Jingyi Li
Xu Chen
FedML
72
5
0
12 Jun 2024
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy,
  Minimal Failure, and Enhanced Quality
FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality
Biwei Yan
Hongliang Zhang
Minghui Xu
Dongxiao Yu
Xiuzhen Cheng
78
6
0
15 Jan 2024
Blockchain-based Edge Resource Sharing for Metaverse
Blockchain-based Edge Resource Sharing for Metaverse
Zhilin Wang
Qin Hu
Minghui Xu
Honglu Jiang
109
15
0
10 Aug 2022
Resource Optimization for Blockchain-based Federated Learning in Mobile
  Edge Computing
Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing
Zhilin Wang
Qin Hu
Zehui Xiong
90
7
0
05 Jun 2022
Incentive Mechanisms for Federated Learning: From Economic and Game
  Theoretic Perspective
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedMLAI4CE
95
124
0
20 Nov 2021
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