PackVFL: Efficient HE Packing for Vertical Federated Learning

no code implementations • 1 May 2024 • Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang

To this core, we propose PackVFL, an efficient VFL framework based on packed HE (PackedHE), to accelerate the existing HE-based VFL algorithms.

Vertical Federated Learning

Secure Forward Aggregation for Vertical Federated Neural Networks

no code implementations • 28 Jun 2022 • Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen

In this paper, we focus on SplitNN, a well-known neural network framework in VFL, and identify a trade-off between data security and model performance in SplitNN.

Privacy Preserving Vertical Federated Learning