Multi-Participant Multi-Class Vertical Federated Learning

30 Jan 2020 Siwei Feng Han Yu

Federated learning (FL) is a privacy-preserving paradigm for training collective machine learning models with locally stored data from multiple participants. Vertical federated learning (VFL) deals with the case where participants sharing the same sample ID space but having different feature spaces, while label information is owned by one participant... (read more)

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