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

by   Ali Kashif Bashir, et al.

Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life. Federated learning (FL), a new branch of artificial intelligence (AI), opens opportunities to deal with privacy issues in healthcare systems and exploit data and computing resources available at distributed devices. Additionally, the Metaverse, through integrating emerging technologies, such as AI, cloud edge computing, Internet of Things (IoT), blockchain, and semantic communications, has transformed many vertical domains in general and the healthcare sector in particular. Obviously, FL shows many benefits and provides new opportunities for conventional and Metaverse healthcare, motivating us to provide a survey on the usage of FL for Metaverse healthcare systems. First, we present preliminaries to IoT-based healthcare systems, FL in conventional healthcare, and Metaverse healthcare. The benefits of FL in Metaverse healthcare are then discussed, from improved privacy and scalability, better interoperability, better data management, and extra security to automation and low-latency healthcare services. Subsequently, we discuss several applications pertaining to FL-enabled Metaverse healthcare, including medical diagnosis, patient monitoring, medical education, infectious disease, and drug discovery. Finally, we highlight significant challenges and potential solutions toward the realization of FL in Metaverse healthcare.


page 1

page 4

page 6

page 8

page 12


Federated Learning for Smart Healthcare: A Survey

Recent advances in communication technologies and Internet-of-Medical-Th...

Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey

Advancements in wearable medical devices in IoT technology are shaping t...

Preventing and Controlling Epidemics through Blockchain-Assisted AI-Enabled Networks

The COVID-19 pandemic, which spread rapidly in late 2019, has revealed t...

Edge Intelligence for Empowering IoT-based Healthcare Systems

The demand for real-time, affordable, and efficient smart healthcare ser...

Improved Healthcare Access in Low-resource Regions: A Review of Technological Solutions

Technological advancements have led to significant improvements in healt...

Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions

Big data has remarkably evolved over the last few years to realize an en...

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey

Recent advances in electronic devices and communication infrastructure h...

Please sign up or login with your details

Forgot password? Click here to reset