THU-AIR Vertical Federated Learning general, extensible and light-weight framework - FLAIR-THU/VFLAIR
对于训练过程的每一次迭代,双方在同态加密下互相传输中间结果。 如果大家对大图数据上高效可扩展的 GNN 和基于图的隐私计算感兴趣,欢迎关注我的 Github,之后会不断更新相关的论文和代码的学习笔记。 https://github.com/XunKaiLi/Awesome-GNN-Researchgithub.com/XunKaiLi/Awesome-GNN-Researchgithub.com/XunKa...
A project developing privacy-preserving, vertical federated learning, usingsyft. 🔗 Private entity resolution using Private Set Intersection (PSI) 🔒 Trains a model on vertically partitioned data using SplitNNs, so only data holders can access data ...
As the initial variant of federated learning (FL), horizontal federated learning (HFL) applies to the situations where datasets share the same feature space but differ in the sample space, e.g., the collaboration between two regional banks, while trending vertical federated learning (VFL) deals ...
1.Label Inference Attacks Against Vertical Federated Learning 【usenix22】 Attack goal:在纵向联邦学习场景下,服务器角色通常由持有标签的参与方Active Party承担,其他参与者Passive Party承担着提供特征的角色。这里攻击方是Passive Party目标是推断Active Party的标签。
Microsoft-managed sources (such as Power BI and Viva Learning) can't be disabled from here and are included by default in Search. Only Fabric administrators can turn off Power BI from Search. For more information, see How to turn sharing with Microsoft 365 services on and off. All vertical...
@article{zou2023vflair, title={VFLAIR: A Research Library and Benchmark for Vertical Federated Learning}, author={Zou, Tianyuan and Gu, Zixuan and He, Yu and Takahashi, Hideaki and Liu, Yang and Ye, Guangnan and Zhang, Ya-Qin}, journal={arXiv preprint arXiv:2310.09827}, year={2023}...
"Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning". Date: August 2024 How to install git clone https://github.com/Andron00e/JAST cd JAST pip install -r requirements.txt Repository structure unsplit contains examples of defense against the Model Inversion ...
A project developing privacy-preserving, vertical federated learning, using syft. 🔗 Private entity resolution using Private Set Intersection (PSI) 🔒 Trains a model on vertically partitioned data using SplitNNs, so only data holders can access data Vertically-partitioned data is data in which ...