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20182023
most citedLoAdaBoost: loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data

14 citations · 16 across the 3 of their papers we have counts for

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Showing 2020Show all

1 paper · 1 filter

cs.CY2020★ 2 cited

Federated machine learning with Anonymous Random Hybridization (FeARH) on medical records

Jianfei Cui, He Zhu, Hao Deng +2

Sometimes electrical medical records are restricted and difficult to centralize for machine learning, which could only be trained in distributed manner that involved many instituti…