Search Results for author: Yujin Han

Found 3 papers, 1 papers with code

GAN-based Vertical Federated Learning for Label Protection in Binary Classification

no code implementations4 Feb 2023 Yujin Han, Leying Guan

Split learning (splitNN) has emerged as a popular strategy for addressing the high computational costs and low modeling efficiency in Vertical Federated Learning (VFL).

Binary Classification Vertical Federated Learning

Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection

1 code implementation4 Feb 2023 Yujin Han, Mingwenchan Xu, Leying Guan

The Random Forests classifier, a widely utilized off-the-shelf classification tool, assumes training and test samples come from the same distribution as other standard classifiers.

Anomaly Detection Medical Diagnosis +1

FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging

no code implementations3 Apr 2022 Yujin Han, Pan Du, Kai Yang

With the aim of obtaining an outstanding performance with less time cost, we propose a novel model in a vertically federated setting termed as Federated Gradient Boosting Forest (FedGBF).

Vertical Federated Learning

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