FlwrBC: Incentive Mechanism Design for Federated Learning by Using Blockchain-Reference-Cited by-同舟云学术

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FlwrBC: Incentive Mechanism Design for Federated Learning by Using Blockchain

Published:2023 Issue: Volume:11 Page:107855-107866
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Cam Nguyen Tan¹^ORCID,Kiet Vu Tuan¹^ORCID

Affiliation:

1. University of Information Technology, Ho Chi Minh City, Vietnam

Funder

The VNUHCM-University of Information Technology’s Scientific Research Support Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10265050.pdf?arnumber=10265050

Reference33 articles.

1. Privacy-Preserving Deep Learning via Weight Transmission

2. A Survey on Federated Learning: The Journey From Centralized to Distributed On-Site Learning and Beyond

3. Differential Privacy for Deep and Federated Learning: A Survey

4. Federated optimization: Distributed machine learning for on-device intelligence;kone?ný;arXiv 1610 02527,2016

5. A Fairness-aware Incentive Scheme for Federated Learning

Cited by 1 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. Decentralized Federated Learning Privacy-Preserving Framework Based on Blockchain;2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC);2023-12-22

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