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Daniel L. Rubin — most-cited papers & profile · Federated Learning
← authors
·
overview
Daniel L. Rubin
4
papers ·
34
citations ·
78
h-index
Palo Alto University · Stanford Medicine · Stanford University
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Semantic Scholar ↗
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Most-cited papers
An Experimental Study of Data Heterogeneity in Federated Learning Methods for Medical Imaging
2021 · 15 citations
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging
2021 · 2 citations
Top co-authors
Liangqiong Qu
· 2
Jayashree Kalpathy-Cramer
· 1
Miao Zhang
· 1
Niranjan Balachandar
· 1
Praveer Singh
· 1
Topics
Federated Learning
Data Heterogeneity
Privacy
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