VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

arXiv:2310.09827v2 Announce Type: replace
Abstract: Vertical Federated Learning (VFL) has emerged as a collaborative training paradigm that allows participants with different features of the same group of users to accomplish cooperative training without exposing their raw data or model parameters. VFL has gained significant attention for its research potential and real-world applications in recent years, but still faces substantial challenges, such as in defending various kinds of data inference and backdoor attacks. Moreover, most of existing VFL projects are industry-facing …

arxiv benchmark cs.lg federated learning library research type