Privacy preserving vertical federated learning for tree-based models-Reference-Cited by-同舟云学术

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Privacy preserving vertical federated learning for tree-based models

Published:2020-08 Issue:12 Volume:13 Page:2090-2103
ISSN:2150-8097
Container-title:Proceedings of the VLDB Endowment
language:en
Short-container-title:Proc. VLDB Endow.

Author:

Wu Yuncheng¹,Cai Shaofeng¹,Xiao Xiaokui¹,Chen Gang²,Ooi Beng Chin¹

Affiliation:

1. National University of Singapore

2. Zhejiang University

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Link

https://dl.acm.org/doi/pdf/10.14778/3407790.3407811

Cited by 108 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Increasing trust in AI through privacy preservation and model explainability: Federated Learning of Fuzzy Regression Trees;Information Fusion;2025-01

2. Federated semi-supervised representation augmentation with cross-institutional knowledge transfer for healthcare collaboration;Knowledge-Based Systems;2024-09

3. Multivariate federated tree-based forecasting combining resilience and privacy: Application to distributed energy resources;Electric Power Systems Research;2024-09

4. Federated Learning of XAI Models in Healthcare: A Case Study on Parkinson’s Disease;Cognitive Computation;2024-08-28

5. SecureVFL: privacy-preserving multi-party vertical federated learning based on blockchain and RSS;Digital Communications and Networks;2024-08

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