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

9 citations · 11 across the 3 of their papers we have counts for

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cs.LG2023★ 1 cited

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

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). However, de…

cs.LG2023★ 1 cited

Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection

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.…

cs.LG2022★ 9 cited

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

Yujin Han, Pan Du, Kai Yang

Federated learning, conducive to solving data privacy and security problems, has attracted increasing attention recently. However, the existing federated boosting model sequentiall…