Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 10
3007-3015

Incentive mechanism for federated learning in competitive environment: multidimensional contract approach

Yang Yanga
Yin Hongjiana
Wang Chaob
a. School of Management Engineering & Business, b. School of Information & Electrical Engineering, Hebei University of Engineering, Handan Hebei 056038, China
DOI: 10.19734/j.issn.1001-3695.2023.02.0080

Abstract

Aiming at the existing incentive mechanisms cannot satisfy the demand of implementation for federated learning(FL) in competitive environment, this paper proposed a multi-dimensional contract-based incentive mechanism for FL in competitive environment. Firstly, this paper introduced the competition intensity to measure the competition relationship between the data owners and the task publisher. Secondly, this paper designed a novel incentive form named as MM(monetary-the FL model) combined incentive, which combined monetary with usufruct of FL model. Thirdly, based on MM combined incentive, this paper constructed optimization problems of the multi-dimensional contract-based incentive mechanism design for FL in competitive environment for the task publisher's profit maximization under complete information scenario and incomplete information scenario respectively. Finally, experimental results show that the multi-dimensional contract-based incentive mechanism based on MM combined incentive improves the willingness of data owners to participate in FL in competitive environment.

Foundation Support

河北省高等学校人文社会科学研究项目(SQ2022085)
河北省自然科学基金面上项目(A2020402013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.02.0080
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 10
Section: Algorithm Research & Explore
Pages: 3007-3015
Serial Number: 1001-3695(2023)10-019-3007-09

Publish History

[2023-07-04] Accepted Paper
[2023-10-05] Printed Article

Cite This Article

杨扬, 殷红建, 王超. 考虑竞争环境的联邦学习多维契约激励机制研究 [J]. 计算机应用研究, 2023, 40 (10): 3007-3015. (Yang Yang, Yin Hongjian, Wang Chao. Incentive mechanism for federated learning in competitive environment: multidimensional contract approach [J]. Application Research of Computers, 2023, 40 (10): 3007-3015. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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