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 ...
实验结果表明,加性噪声机制和乘性噪声机制均能实现有效的标签保护,且模型检测精度略有下降,混合机制能实现有效的标签保护,且检测精度没有下降,证明了该保护技术的有效性和高效性。 4 Improving Privacy-Preserving V ertical Federated Learning by Efficient Communication with ADMM 提出了一种具有多头(VIM)的高效的VF...
About THU-AIR Vertical Federated Learning general, extensible and light-weight framework Resources Readme Activity Stars 0 stars Watchers 0 watching Forks 0 forks Report repository Releases No releases published Packages No packages published Languages Python 96.6% Shell 3.4% ...
Vertical Federated Learning (VFL) has many applications in the field of smart healthcare with excellent performance. However, current VFL systems usually primarily focus on the privacy protection during model training, while the preparation of training data receives little attention. In real-world appli...
综述文献:A Survey on Federated Learning Systems- Vision, Hype and Reality for Data Privacy and Protection 部分知识整理 文献总结了联邦学习系统的特点和分类。 机器学习算法需要大量数据,单组织数据无法训练高质量模型。由于政策法规(数据保护条例)限制,不同组织的数据隔离,形成数据孤岛(data islan...IDEA...
Supplementary code for "Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning" This code comes jointly with reference: Andrei Semenov, Philip Zmushko, Alexander Pichugin, Aleksandr Beznosikov. "Just a Simple Transformation is Enough for Data Protection in Vertical...
THU-AIR Vertical Federated Learning general, extensible and light-weight framework Resources Readme Activity Custom properties Stars 85 stars Watchers 3 watching Forks 20 forks Report repository Releases No releases published Packages No packages published Contributors 8 Languages Python 96.6...
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 ...