A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning

Tang，Ming1; Peng，Fu2; Wong，Vincent W.S.3

2024

10.1109/TMC.2024.3361089

IEEE Transactions on Mobile Computing   影响因子和分区

1536-1233

1558-0660

In cross-silo federated learning (FL), organizations cooperatively train a global model with their local datasets. However, some organizations may act as free riders such that they only contribute a small amount of resources but can obtain a high-accuracy global model. Meanwhile, some organizations can be business competitors, and they do not trust each other or any third-party entity. In this work, our goal is to design a framework that motivates efficient cooperation among organizations without the coordination of a central entity. To this end, we propose a blockchain-empowered incentive mechanism framework for cross-silo FL. Under this incentive mechanism framework, we develop a distributed algorithm that enables organizations to achieve social efficiency, individual rationality, and budget balance without private information of the organizations. Our proposed algorithm has a proven convergence guarantee and empirically achieves a higher convergence rate than a benchmark method. Moreover, we propose a transaction minimization algorithm to reduce the number of transactions made among organizations in the blockchain. This algorithm is proven to achieve a performance no worse than twice the minimum value. The experimental results in a testbed show that our proposed framework enables organizations to achieve social efficiency within a relatively short iterative process.

Blockchain Blockchains Costs federated learning game theory incentive mechanism Load modeling Organizations resource allocation Servers Smart contracts Training

EI

英语

第一

COMPUTER SCIENCE

2-s2.0-85184322102

Scopus

1.Department of Computer Science and Engineering and the Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, China
2.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China
3.Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada

Tang，Ming,Peng，Fu,Wong，Vincent W.S.. A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning[J]. IEEE Transactions on Mobile Computing,2024,PP(99):1-13.

Tang，Ming,Peng，Fu,&Wong，Vincent W.S..(2024).A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning.IEEE Transactions on Mobile Computing,PP(99),1-13.

Tang，Ming,et al."A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning".IEEE Transactions on Mobile Computing PP.99(2024):1-13.