Incentive Mechanisms for Federated Learning

Choong Seon Hong; Latif U. Khan; Mingzhe Chen; Dawei Chen; Walid Saad; Zhu Han

doi:10.1007/978-981-16-4963-9_4

Incentive Mechanisms for Federated Learning

Choong Seon Hong, Latif U. Khan, Mingzhe Chen, Dawei Chen, Walid Saad, Zhu Han

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (Scopus)

Abstract

In this chapter, we discuss various components of federated learning that must be given some incentive in terms of monetary cost or other benefits. We design incentive mechanism design for federated learning using game theory and auction theory. Finally, we present extensive numerical results to show the validity of our proposed incentive mechanisms.

Original language	English
Title of host publication	Wireless Networks (United Kingdom)
Publisher	Springer Science and Business Media B.V.
Pages	71-128
Number of pages	58
DOIs	https://doi.org/10.1007/978-981-16-4963-9_4
Publication status	Published - 2021

Publication series

Name	Wireless Networks (United Kingdom)
ISSN (Print)	2366-1186
ISSN (Electronic)	2366-1445

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Access to Document

10.1007/978-981-16-4963-9_4

Cite this

@inbook{0787db6404b04873afb61a7d49019c1f,

title = "Incentive Mechanisms for Federated Learning",

abstract = "In this chapter, we discuss various components of federated learning that must be given some incentive in terms of monetary cost or other benefits. We design incentive mechanism design for federated learning using game theory and auction theory. Finally, we present extensive numerical results to show the validity of our proposed incentive mechanisms.",

author = "{Seon Hong}, Choong and Khan, {Latif U.} and Mingzhe Chen and Dawei Chen and Walid Saad and Zhu Han",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.",

year = "2021",

doi = "10.1007/978-981-16-4963-9_4",

language = "English",

series = "Wireless Networks (United Kingdom)",

publisher = "Springer Science and Business Media B.V.",

pages = "71--128",

booktitle = "Wireless Networks (United Kingdom)",

address = "Germany",

}

TY - CHAP

T1 - Incentive Mechanisms for Federated Learning

AU - Seon Hong, Choong

AU - Khan, Latif U.

AU - Chen, Mingzhe

AU - Chen, Dawei

AU - Saad, Walid

AU - Han, Zhu

PY - 2021

Y1 - 2021

N2 - In this chapter, we discuss various components of federated learning that must be given some incentive in terms of monetary cost or other benefits. We design incentive mechanism design for federated learning using game theory and auction theory. Finally, we present extensive numerical results to show the validity of our proposed incentive mechanisms.

AB - In this chapter, we discuss various components of federated learning that must be given some incentive in terms of monetary cost or other benefits. We design incentive mechanism design for federated learning using game theory and auction theory. Finally, we present extensive numerical results to show the validity of our proposed incentive mechanisms.

UR - http://www.scopus.com/inward/record.url?scp=85122470866&partnerID=8YFLogxK

U2 - 10.1007/978-981-16-4963-9_4

DO - 10.1007/978-981-16-4963-9_4

M3 - Chapter

AN - SCOPUS:85122470866

T3 - Wireless Networks (United Kingdom)

SP - 71

EP - 128

BT - Wireless Networks (United Kingdom)

PB - Springer Science and Business Media B.V.

ER -

Incentive Mechanisms for Federated Learning

Abstract

Publication series

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this