High-Quality Model Aggregation for Blockchain-Based Federated Learning via Reputation-Motivated Task Participation-Reference-Cited by-同舟云学术

High-Quality Model Aggregation for Blockchain-Based Federated Learning via Reputation-Motivated Task Participation

Published:2022-10-01 Issue:19 Volume:9 Page:18378-18391
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Qi Jiahao¹^ORCID,Lin Feilong¹^ORCID,Chen Zhongyu¹,Tang Changbing²^ORCID,Jia Riheng¹^ORCID,Li Minglu¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province and the College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China

2. College of Physics and Electronic Information Engineering, Zhejiang Normal University, Jinhua, China

Funder

NSF of China

NSF of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9899827/09737334.pdf?arnumber=9737334

Reference41 articles.

1. A Blockchained Federated Learning Framework for Cognitive Computing in Industry 4.0 Networks

2. Optimizing Task Assignment for Reliable Blockchain-Empowered Federated Edge Learning

3. A Learning-Based Incentive Mechanism for Federated Learning

4. Federated Learning Service Market: A Game Theoretic Analysis

5. FMore: An Incentive Scheme of Multi-dimensional Auction for Federated Learning in MEC

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