Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions
The smart healthcare system has improved the patients quality of life (QoL), where the records are being analyzed remotely by distributed stakeholders. It requires a voluminous exchange of data for disease prediction via the open communication channel, i.e., the Internet to train artificial intellig...
Saved in:
Main Authors: | Vishwa Amitkumar Patel, Pronaya Bhattacharya, Sudeep Tanwar, Rajesh Gupta, Gulshan Sharma, Pitshou N. Bokoro, Ravi Sharma |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9867987/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Explainable AI for Healthcare 5.0: Opportunities and Challenges
by: Deepti Saraswat, et al.
Published: (2022-01-01) -
Medical informatics : concepts, methodologies, tools, and applications /
by: Tan, Joseph
Published: (2009) -
Federated ecology: from federated data to federated intelligence
by: Fei-Yue WANG, et al.
Published: (2020-12-01) -
Adaptive federated learning secure aggregation scheme based on threshold homomorphic encryption
by: Zhuo MA, et al.
Published: (2023-07-01) -
LEGAL ASPECTS OF CREATING SINGLE INFORMATION SPACE IN THE RUSSIAN FEDERATION
by: Zarina Tamerlanovna Zoloeva
Published: (2021-09-01)