Personalized Federated Learning for In-Hospital Mortality Prediction of Multi-Center ICU
Author:
Affiliation:
1. Department of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang, Selangor Darul Ehsan, Malaysia
Funder
Fundamental Research Grant Scheme (FRGS), Ministry of Higher Education Malaysia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10034741.pdf?arnumber=10034741
Reference47 articles.
1. Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
2. Performance Analysis of Distributed and Federated Learning Models on Private Data
3. Distilling the knowledge in a neural network;hinton;ArXiv 1503 02531,2015
4. Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
5. MHAT: An efficient model-heterogenous aggregation training scheme for federated learning
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