A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning-Reference-Cited by-同舟云学术

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A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning

Published:2022-01 Issue:1 Volume:40 Page:359-375
ISSN:0733-8716
Container-title:IEEE Journal on Selected Areas in Communications
language:
Short-container-title:IEEE J. Select. Areas Commun.

Author:

Ng Jer Shyuan^ORCID,Lim Wei Yang Bryan^ORCID,Xiong Zehui^ORCID,Cao Xianbin^ORCID,Niyato Dusit^ORCID,Leung Cyril^ORCID,Kim Dong In^ORCID

Funder

National Research Foundation Prime Ministers Office

CREATE

AIR

JRI

AISG

MOE

SUTD

SUTDZJU IDEA

NRF

Ministry of Science and ICT, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/49/9653871/09606848.pdf?arnumber=9606848

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Blockchain-Empowered Incentive Mechanism for Cross-Silo Federated Learning;IEEE Transactions on Mobile Computing;2024-10

2. Incentive and Dynamic Client Selection for Federated Unlearning;Proceedings of the ACM Web Conference 2024;2024-05-13

3. Incentive-Aware Resource Allocation for Multiple Model Owners in Federated Learning;IEEE Transactions on Services Computing;2024-03

4. Latency Minimization for Wireless Federated Learning With Heterogeneous Local Model Updates;IEEE Internet of Things Journal;2024-01-01

5. FRAIM: A Feature Importance-Aware Incentive Mechanism for Vertical Federated Learning;Lecture Notes in Computer Science;2024

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