102 citations · 297 across the 16 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.LG2018★ 5 cited
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden
Dianbo Liu, Nestor Sepulveda, Ming Zheng
Machine Learning (ML) applications on healthcare can have a great impact on people's lives helping deliver better and timely treatment to those in need. At the same time, medical d…
cs.CY2018★ 66 cited
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record
Dianbo Liu, Timothy Miller, Raheel Sayeed +1
Electronic health record (EHR) data is collected by individual institutions and often stored across locations in silos. Getting access to these data is difficult and slow due to se…
cs.LG2018★ 14 cited
LoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data
Li Huang, Yifeng Yin, Zeng Fu +3
Intensive care data are valuable for improvement of health care, policy making and many other purposes. Vast amount of such data are stored in different locations, on many differen…