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Found 2 papers, 1 papers with code
A Survey on Contribution Evaluation in Vertical Federated Learning
Vertical Federated Learning (VFL) has emerged as a critical approach in machine learning to address privacy concerns associated with centralized data storage and processing.
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
In order to improve the information-sharing capability and innovation of various healthcare-related institutions, and then to establish a next-generation open medical collaboration network, we propose a unified framework for vertical federated knowledge transfer mechanism (VFedTrans) based on a novel cross-hospital representation distillation component.
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