Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey

1 code implementation • 25 May 2024 • Mang Ye, Wei Shen, Bo Du, Eduard Snezhko, Vassili Kovalev, Pong C. Yuen

Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm where different parties collaboratively learn models using partitioned features of shared samples, without leaking private data.

Privacy Preserving Survey +1