BOOK-CHAPTER

GAIN: Game-Theoretic Design of Fair Incentive Mechanisms for Multiple Model Owners in Federated Learning

Gangqiang HuXiaowei ZengJianmin HanBing LiJianfeng Lu

Year: 2025 Communications in computer and information science Pages: 121-132   Publisher: Springer Science+Business Media
Keywords:
Incentive Computer science Game theory Microeconomics Economics

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.09
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Auction Theory and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research

Related Documents

JOURNAL ARTICLE

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

Xuezhen TuKun ZhuNguyen Cong LuongDusit NiyatoYang ZhangJuan Li

Journal:   IEEE Transactions on Cognitive Communications and Networking Year: 2022 Vol: 8 (3)Pages: 1566-1593
JOURNAL ARTICLE

Incentive-Aware Resource Allocation for Multiple Model Owners in Federated Learning

Fengyang ChenLi‐Hsing Yen

Journal:   IEEE Transactions on Services Computing Year: 2024 Vol: 17 (2)Pages: 549-562
© 2026 ScienceGate Book Chapters — All rights reserved.