Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates

no code implementations • 29 Jul 2022 • Fangcheng Fu, Xupeng Miao, Jiawei Jiang, Huanran Xue, Bin Cui

Vertical federated learning (VFL) is an emerging paradigm that allows different parties (e. g., organizations or enterprises) to collaboratively build machine learning models with privacy protection.

Vertical Federated Learning

BlindFL: Vertical Federated Machine Learning without Peeking into Your Data

no code implementations • 16 Jun 2022 • Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui

First, to address the functionality of VFL models, we propose the federated source layers to unite the data from different parties.

BIG-bench Machine Learning Vertical Federated Learning