Blockchain Meets Federated Learning in Healthcare: A Systematic Review With Challenges and Opportunities-Reference-Cited by-同舟云学术

Blockchain Meets Federated Learning in Healthcare: A Systematic Review With Challenges and Opportunities

Published:2023-08-15 Issue:16 Volume:10 Page:14418-14437
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Myrzashova Raushan¹^ORCID,Alsamhi Saeed Hamood²,Shvetsov Alexey V.³^ORCID,Hawbani Ammar¹^ORCID,Wei Xi⁴^ORCID

Affiliation:

1. Department of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China

2. Faculty of Engineering, IBB University, Ibb, Yemen

3. Department of Smart Technologies, Moscow Polytechnic University, Moscow, Russia

4. Department of Chemistry, University of Science and Technology of China, Hefei, Anhui, China

Funder

Natural Science Foundation of Anhui Province

ANSO Scholarship for Young Talents.P2

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/ielx7/6488907/10210448/10090221.pdf?arnumber=10090221

Reference120 articles.

1. Blockchain-Based Federated Learning Against End-Point Adversarial Data Corruption

2. BAFL: An Efficient Blockchain-Based Asynchronous Federated Learning Framework

3. Blockchain-based Node-aware Dynamic Weighting Methods for Improving Federated Learning Performance

4. Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT

5. A blockchain-based model migration approach for secure and sustainable federated learning in IoT systems;zhang;IEEE Internet of Things Journal,2021

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