IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning-Reference-Cited by-同舟云学术

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IoMT: A Medical Resource Management System Using Edge Empowered Blockchain Federated Learning

Published:2023 Issue: Volume: Page:1-1
ISSN:1932-4537
Container-title:IEEE Transactions on Network and Service Management
language:
Short-container-title:IEEE Trans. Netw. Serv. Manage.

Author:

Muazu Tasiu¹^ORCID,Yingchi Mao²,Muhammad Abdullahi Uwaisu²,Ibrahim Muhammad³,Samuel Omaji⁴^ORCID,Tiwari Prayag⁵^ORCID

Affiliation:

1. College of Computer and Information, Hohai University, China

2. College of Computer and Information, Hohai University, Nanjing, PR China

3. College of Environment, Hohai University, Nanjing, PR China

4. Department of Computer Science, Edo State University, Uzairue, Nigeria

5. Department of Computer Science, Aalto University, Espoo, Finland

Funder

Key Research and Development Program of Yunnan Province of China

Key Research and Development Program of China

Achievements Transformation Project of Jiangsu Province of China

Key Research and Development Program of Jiangsu Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4275028/5699970/10229224.pdf?arnumber=10229224

Cited by 6 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. Blockchained Federated Learning for Internet of Things: A Comprehensive Survey;ACM Computing Surveys;2024-06-22

2. Privacy-preserving in Blockchain-based Federated Learning systems;Computer Communications;2024-06

3. Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions;IEEE Access;2024

4. DT-LSMAS: Digital Twin-Assisted Large-Scale Multiagent System for Healthcare Workflows;IEEE Systems Journal;2024

5. A Privacy Preserving Federated Learning System for IoT Devices Using Blockchain and Optimization;Journal of Computer and Communications;2024

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