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

**Authors:** Ali Kashif Bashir, Nancy Victor, Sweta Bhattacharya, Thien Huynh-The, Rajeswari Chengoden, Gokul Yenduri, Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Thippa Reddy Gadekallu, Madhusanka Liyanage  
**arXiv:** [2304.00524](https://arxiv.org/abs/2304.00524)  
**Date:** 2023-04-02  
**Summary page:** https://www.summarizepaper.com/en/paper/2304.00524v2/

## Key points

- Recent advancements in technology have improved healthcare systems
- Federated learning (FL) is a new branch of AI that can address privacy concerns and leverage data and computing resources
- The Metaverse has transformed many vertical domains, including healthcare
- This paper presents a survey on the usage of FL for Metaverse healthcare systems
- FL offers benefits such as improved privacy and scalability, better interoperability, enhanced data management, extra security measures, automation capabilities, and low-latency healthcare services

## Summary

Recent advancements in technology have significantly improved healthcare systems, providing various intelligent healthcare services and enhancing the quality of life. Federated learning (FL), a new branch of artificial intelligence (AI), offers opportunities to address privacy concerns in healthcare systems and leverage data and computing resources available at distributed devices. The Metaverse, through the integration of 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. This paper presents a survey on the usage of FL for Metaverse healthcare systems. It begins by introducing preliminaries to IoT-based healthcare systems, FL in conventional healthcare, and Metaverse healthcare. The benefits of FL in Metaverse healthcare are then discussed, including improved privacy and scalability, better interoperability, enhanced data management, extra security measures, automation capabilities, and low-latency healthcare services.