Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions-Reference-Cited by-同舟云学术

Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions

Published:2023-12-15 Issue:24 Volume:10 Page:21873-21891
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Bashir Ali Kashif¹^ORCID,Victor Nancy²^ORCID,Bhattacharya Sweta²^ORCID,Huynh-The Thien³^ORCID,Chengoden Rajeswari²,Yenduri Gokul²^ORCID,Maddikunta Praveen Kumar Reddy²^ORCID,Pham Quoc-Viet⁴^ORCID,Gadekallu Thippa Reddy²^ORCID,Liyanage Madhusanka⁵^ORCID

Affiliation:

1. Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, U.K.

2. School of Information Technology, Vellore Institute of Technology, Vellore, India

3. Department of Computer and Communications Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City, Vietnam

4. School of Computer Science and Statistics, Trinity College Dublin, The University of Dublin, Dublin 2, Ireland

5. School of Computer Science, University College Dublin, D04 V1W8, Ireland

Funder

European Union in SPATIAL

CONFIDENTIAL-6G

Science Foundation Ireland under CONNECT Phase 2 Projects

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/ielx7/6488907/10353047/10215363.pdf?arnumber=10215363

Reference111 articles.

1. Differential Privacy

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4. Multi-server assisted data sharing supporting secure deduplication for metaverse healthcare systems

5. Understanding the intention to use metaverse in healthcare utilizing a mix method approach

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