Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification-Reference-Cited by-同舟云学术

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Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification

Published:2023 Issue: Volume:11 Page:145747-145762
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Goh Eunsu¹^ORCID,Kim Dae-Yeol²^ORCID,Lee Kwangkee¹^ORCID,Oh Suyeong¹,Chae Jong-Eui¹,Kim Do-Yup³^ORCID

Affiliation:

1. Innopia Technologies Inc., Seongnam, South Korea

2. Department of Information and Communication AI Engineering, Kyungnam University, Changwon, South Korea

3. Department of Information and Telecommunication Engineering, Incheon National University, Incheon, South Korea

Funder

Ministry of Science and ICT, South Korea

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/ielx7/6287639/10005208/10368022.pdf?arnumber=10368022

Reference55 articles.

1. Andrew Ng, AI Minimalist: The Machine-Learning Pioneer Says Small is the New Big

2. Radio and Energy Resource Management in Renewable Energy-Powered Wireless Networks With Deep Reinforcement Learning

3. Data collection and quality challenges in deep learning: a data-centric AI perspective

4. Changes in Data Sharing and Data Reuse Practices and Perceptions among Scientists Worldwide

5. Communication-efficient learning of deep networks from decentralized data;McMahan

Cited by 2 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. Secure and Scalable Blockchain-Based Federated Learning for Cryptocurrency Fraud Detection: A Systematic Review;IEEE Access;2024

2. Exploring privacy measurement in federated learning;The Journal of Supercomputing;2023-12-27

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