PyVertical

Vertical learning framework

A framework for training neural networks on vertically partitioned data while preserving user privacy through secure set intersection.

Privacy Preserving Vertical Federated Learning

GitHub

215 stars
13 watching
51 forks
Language: Python
last commit: over 3 years ago
federated-learningpartitioned-dataprivate-set-intersectionpsisplit-neural-networksplitnnvertical-federated-learning

Related projects:

RepositoryDescriptionStars
openmined/swiftsyftA framework that enables secure, federated learning on iOS devices using PySyft models.50
openmined/syft.jsA JavaScript library that enables secure and decentralized federated learning on end-user devices.147
securefederatedai/openflA Python framework for collaborative machine learning without sharing sensitive data738
xtra-computing/fedsimA framework that enables federated learning across multiple datasets while optimizing model performance with record similarities.25
openmined/kotlinsyftEnables secure, on-device machine learning training and inference for Android devices using PySyft models86
substra/substraEnables the training and validation of machine learning models on distributed datasets in a secure and scalable manner.274
litian96/dittoA framework for personalized federated learning to balance fairness and robustness in decentralized machine learning systems.138
openmined/private-ai-resourcesA curated collection of resources and libraries for secure machine learning research and development470
xtra-computing/fedovDevelops a framework to address label skews in one-shot federated learning by partitioning data and adapting models.17
hongyouc/fed-rodDevelops a framework to balance competing goals in federated learning by decoupling generic and personalized prediction tasks.14
ganyuwang/vfl-czofoA unified framework for improving privacy and reducing communication overhead in distributed machine learning models.12
hypervoyager/pflAn implementation of heterogeneous federated learning with parallel edge and server computation17
raymin0223/logoAn implementation of federated active learning with a novel sampling strategy to improve performance on decentralized machine learning tasks31
xtra-computing/privmlAn effort to develop and evaluate private machine learning frameworks19
lxcnju/fedrepoAn open-source repository implementing various federated learning algorithms with source code for multiple deep learning applications.175