VFL-CZOFO

FL framework

A unified framework for improving privacy and reducing communication overhead in distributed machine learning models.

Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning

GitHub

12 stars
1 watching
4 forks
Language: Python
last commit: over 2 years ago

Related projects:

RepositoryDescriptionStars
shenzebang/federated-learning-pytorchA PyTorch-based framework for Federated Learning experiments40
kenziyuliu/private-cross-silo-flThis repository provides an implementation of a cross-silo federated learning framework with differential privacy mechanisms.25
enosair/federated-fdpA framework for private federated learning that provides differential privacy guarantees at the individual record level.7
cuis15/fcflAn implementation of Fair and Consistent Federated Learning using Python.20
omarfoq/knn-perA federated learning framework with personalized memorization using deep neural networks and k-nearest neighbors for collaborative learning of statistical models43
substra/substraEnables the training and validation of machine learning models on distributed datasets in a secure and scalable manner.274
fangxiuwen/robust_flAn implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning.43
wenkehuang/fcclA framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning97
rong-dai/dispflAn implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.72
shenzebang/centaur-privacy-federated-representation-learningA framework for Federated Learning with Differential Privacy using PyTorch13
chengyangfu/caffeA fast and modular deep learning framework for computer vision tasks.169
gingsmith/fmtlA framework for collaborative learning across multiple tasks and datasets in a distributed manner130
ai-secure/crflThis project presents a framework for robust federated learning against backdoor attacks.71
securefederatedai/openflA Python framework for collaborative machine learning without sharing sensitive data738
omarfoq/fedemDevelops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.157