Vertical federated learning: Concepts, advances, and challenges

Y Liu, Y Kang, T Zou, Y Pu, Y He, X Ye… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with
different features about the same set of users jointly train machine learning models without …
被引用次数：150 相关文章

Vertical Federated Learning: Concepts, Advances and Challenges

Y Liu, Y Kang, T Zou, Y Pu, Y He, X Ye… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Abstract Vertical Federated Learning (VFL) is a federated learning setting where multiple
parties with different features about the same set of users jointly train machine learning …

Vertical Federated Learning: Concepts, Advances and Challenges

Y Liu, Y Kang, T Zou, Y Pu, Y He, X Ye… - arXiv preprint arXiv …, 2022 - arxiv.org
Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with
different features about the same set of users jointly train machine learning models without …

Vertical Federated Learning: Concepts, Advances, and Challenges

Y Liu, Y Kang, T Zou, Y Pu, Y He, X Ye… - IEEE Transactions on …, 2024 - computer.org
Abstract Vertical Federated Learning (VFL) is a federated learning setting where multiple
parties with different features about the same set of users jointly train machine learning …

Vertical Federated Learning: Concepts, Advances, and Challenges

Y Liu, Y Kang, T Zou, Y Pu, Y He, X Ye… - IEEE Transactions on …, 2024 - computer.org
Abstract Vertical Federated Learning (VFL) is a federated learning setting where multiple
parties with different features about the same set of users jointly train machine learning …