Efficient asynchronous multi-participant vertical federated learning

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

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...