Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19

Applications and Challenges of Federated Learning Paradigm in the Big Data Era with Special Emphasis on COVID-19

Federated learning (FL) is one of the leading paradigms of modern times with higher privacy guarantees than any other digital solution. Since its inception in 2016, FL has been rigorously investigated from multiple perspectives. Some of these perspectives are extensions of FL’s applications in diffe...

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Bibliographic Details
Main Authors: Abdul Majeed, Xiaohan Zhang, Seong Oun Hwang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Big Data and Cognitive Computing
Subjects:
federated learning
COVID-19
medical
privacy preservation
statistical heterogeneity
Online Access:https://www.mdpi.com/2504-2289/6/4/127

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https://www.mdpi.com/2504-2289/6/4/127

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