A Comprehensive Survey on Federated Learning: Concept and Applications
- URL: http://arxiv.org/abs/2201.09384v1
- Date: Sun, 23 Jan 2022 22:33:23 GMT
- Title: A Comprehensive Survey on Federated Learning: Concept and Applications
- Authors: Dhurgham Hassan Mahlool, Mohammed Hamzah Abed
- Abstract summary: This paper provides a comprehensive study of Federated Learning (FL) with an emphasis on components, challenges, applications and FL environment.
In the medical system, the privacy of patients records and their medical condition is critical data, therefore collaborative learning or federated learning comes into the picture.
One of the applications that are used is a brain tumor diagnosis intelligent system based on AI methods that can efficiently work in a collaborative environment.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: This paper provides a comprehensive study of Federated Learning (FL) with an
emphasis on components, challenges, applications and FL environment. FL can be
applicable in multiple fields and domains in real-life models. in the medical
system, the privacy of patients records and their medical condition is critical
data, therefore collaborative learning or federated learning comes into the
picture. On other hand build an intelligent system assist the medical staff
without sharing the data lead into the FL concept and one of the applications
that are used is a brain tumor diagnosis intelligent system based on AI methods
that can efficiently work in a collaborative environment.this paper will
introduce some of the applications and related work in the medical field and
work under the FL concept then summarize them to introduce the main limitations
of their work.
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