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

被引:30
作者
Bashir, Ali Kashif [1 ,2 ,3 ]
Victor, Nancy [4 ]
Bhattacharya, Sweta [4 ]
Huynh-The, Thien [5 ]
Chengoden, Rajeswari [4 ]
Yenduri, Gokul [4 ]
Maddikunta, Praveen Kumar Reddy [4 ]
Pham, Quoc-Viet [6 ]
Gadekallu, Thippa Reddy [4 ,7 ,8 ,9 ,10 ]
Liyanage, Madhusanka [11 ]
机构
[1] Manchester Metropolitan Univ, Dept Comp & Math, Manchester M15 6BH, England
[2] Woxsen Univ, Woxsen Sch Business, Hyderabad 502345, India
[3] Lebanese Amer Univ, Dept Comp Sci & Math, Beirut 11022801, Lebanon
[4] Vellore Inst Technol, Sch Informat Technol, Vellore 632014, India
[5] Ho Chi Minh City Univ Technol & Educ, Dept Comp & Commun Engn, Ho Chi Minh City 71307, Vietnam
[6] Univ Dublin, Trinity Coll Dublin, Sch Comp Sci & Stat, Dublin 2, Ireland
[7] Lebanese Amer Univ Byblos, Dept Elect & Comp Engn, Byblos, Lebanon
[8] Zhongda Grp, Res & Dev Dept, Jiaxing 314312, Zhejiang, Peoples R China
[9] Jiaxing Univ, Coll Informat Sci & Engn, Jiaxing 314001, Peoples R China
[10] Lovely Profess Univ, Div Res & Dev, Phagwara 144001, India
[11] Univ Coll Dublin, Sch Comp Sci, Dublin 4, Ireland
关键词
Medical services; Metaverse; Data privacy; Medical diagnostic imaging; Artificial intelligence; Collaboration; Security; Cobots; digital twins; disease diagnosis; federated learning (FL); healthcare; healthcare metaverse; metaverse; PRIVACY PRESERVATION; MANAGEMENT; SYSTEMS;
D O I
10.1109/JIOT.2023.3304790
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent technological advancements have considerably improved healthcare systems to provide various intelligent services, improving life quality. The Metaverse, often described as the next evolution of the Internet, helps the users interact with each other and the environment, thus offering a seamless connection between the virtual and physical worlds. Additionally, the Metaverse, by integrating emerging technologies, such as artificial intelligence (AI), cloud edge computing, Internet of Things (IoT), blockchain, and semantic communications, can potentially transform many vertical domains in general and the healthcare sector (healthcare Metaverse) in particular. The healthcare Metaverse holds huge potential to revolutionize the development of intelligent healthcare systems, thus presenting new opportunities for significant advancements in healthcare delivery, personalized healthcare experiences, medical education, collaborative research, and so on. However, various challenges are associated with the realization of the healthcare Metaverse, such as privacy, interoperability, data management, and security. Federated learning (FL), a new branch of AI, opens up enormous opportunities to deal with the aforementioned challenges in the healthcare Metaverse by exploiting the data and computing resources available at the distributed devices. This motivated us to present a survey on adopting FL for the healthcare Metaverse. Initially, we present the preliminaries of IoT-based healthcare systems, FL in conventional healthcare, and the healthcare Metaverse. Furthermore, the benefits of the FL in the healthcare Metaverse are discussed. Subsequently, we discuss the several applications of FL-enabled healthcare Metaverse, including medical diagnosis, patient monitoring, medical education, infectious disease, and drug discovery. Finally, we highlight the significant challenges and potential solutions toward realizing FL in the healthcare Metaverse.
引用
收藏
页码:21873 / 21891
页数:19
相关论文
共 50 条
  • [21] Green and Economical Interaction in Metaverse: Challenges, Architecture, and Future Directions
    Zhao, Yaru
    Huang, Yakun
    Lu, Ping
    Shi, Wenzhe
    Ma, Baojun
    Su, Xiang
    Qiao, Xiuquan
    IEEE NETWORK, 2024, 38 (06): : 300 - 308
  • [22] Challenges and future directions of secure federated learning: a survey
    Zhang, Kaiyue
    Song, Xuan
    Zhang, Chenhan
    Yu, Shui
    FRONTIERS OF COMPUTER SCIENCE, 2022, 16 (05)
  • [23] Challenges and future directions of secure federated learning: a survey
    Kaiyue Zhang
    Xuan Song
    Chenhan Zhang
    Shui Yu
    Frontiers of Computer Science, 2022, 16
  • [24] Challenges and future directions of secure federated learning: a survey
    ZHANG Kaiyue
    SONG Xuan
    ZHANG Chenhan
    YU Shui
    Frontiers of Computer Science, 2022, 16 (05)
  • [25] Federated Learning for IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions
    Adam, Mumin
    Baroudi, Uthman
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2024, 5 : 7842 - 7877
  • [26] Exploring the convergence of Metaverse, Blockchain, and AI: A comprehensive survey of enabling technologies, applications, challenges, and future directions
    Uddin, Mueen
    Obaidat, Muath
    Manickam, Selvakumar
    Laghari, Shams Ul Arfeen
    Dandoush, Abdulhalim
    Ullah, Hidayat
    Ullah, Syed Sajid
    WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2024, 14 (06)
  • [27] Healthcare in Metaverse: A Survey on Current Metaverse Applications in Healthcare
    Bansal, Gaurang
    Rajgopal, Karthik
    Chamola, Vinay
    Xiong, Zehui
    Niyato, Dusit
    IEEE ACCESS, 2022, 10 : 119914 - 119946
  • [28] The Metaverse for Industry 5.0 in NextG Communications: Potential Applications and Future Challenges
    Boopathy, Prabadevi
    Deepa, Natarajan
    Maddikunta, Praveen Kumar Reddy
    Victor, Nancy
    Gadekallu, Thippa Reddy
    Yenduri, Gokul
    Wang, Wei
    Pham, Quoc-Viet
    Thien, Huynh-The
    Liyanage, Madhusanka
    IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 2025, 6 : 4 - 24
  • [29] The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
    Sami, H.
    Hammoud, A.
    Arafeh, M.
    Wazzeh, M.
    Arisdakessian, S.
    Chahoud, M.
    Wehbi, O.
    Ajaj, M.
    Mourad, A.
    Otrok, H.
    Wahab, O. Abdel
    Mizouni, R.
    Bentahar, J.
    Talhi, C.
    Dziong, Z.
    Damiani, E.
    Guizani, M.
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2024, 26 (04): : 2914 - 2960
  • [30] Federated Learning for Healthcare Applications
    Chaddad, Ahmad
    Wu, Yihang
    Desrosiers, Christian
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (05): : 7339 - 7358