Efficient asynchronous multi-participant vertical federated learning

Efficient asynchronous multi-participant vertical federated learning

Vertical Federated Learning (VFL) is a private-preserving distributed machine learning paradigm that collaboratively trains machine learning models with participants whose local data overlap largely in the sample space, but not so in the feature space. Existing VFL methods are mainly based on synchr...

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Bibliographic Details
Main Authors: Shi, Haoran, Xu, Yonghui, Jiang, Yali, Yu, Han, Cui, Lizhen
Other Authors: College of Computing and Data Science
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Artificial intelligence
Federated learning
Online Access:https://hdl.handle.net/10356/179059

Internet

https://hdl.handle.net/10356/179059

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