federated-fdp

Private FL framework

A framework for private federated learning that provides differential privacy guarantees at the individual record level.

GitHub

7 stars
1 watching
0 forks
Language: Python
last commit: over 3 years ago

Related projects:

Repository Description Stars
shenzebang/centaur-privacy-federated-representation-learning A framework for Federated Learning with Differential Privacy using PyTorch 13
kenziyuliu/private-cross-silo-fl This repository provides an implementation of a cross-silo federated learning framework with differential privacy mechanisms. 25
ganyuwang/vfl-czofo A unified framework for improving privacy and reducing communication overhead in distributed machine learning models. 11
securefederatedai/openfl A framework for enabling collaboration on machine learning projects without sharing sensitive data 728
cuis15/fcfl An implementation of Fair and Consistent Federated Learning using Python. 20
jeremy313/soteria An implementation of a defense against model inversion attacks in federated learning 55
rong-dai/dispfl An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol. 68
sap-samples/machine-learning-diff-private-federated-learning Simulates a federated learning setting to preserve individual data privacy 360
xiyuanyang45/dynamicpfl A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness 51
substra/substra Enables the training and validation of machine learning models on distributed datasets in a secure and scalable manner. 271
bdemo/pfedbred_public A project that proposes a novel federated learning approach to address the issue of incomplete information in personalized machine learning models 8
shenzebang/federated-learning-pytorch A PyTorch-based framework for Federated Learning experiments 40
dcalab-unipv/turning-privacy-preserving-mechanisms-against-federated-learning This project presents an attack on federated learning systems to compromise their privacy-preserving mechanisms. 8
git-disl/lockdown A backdoor defense system against attacks in federated learning algorithms used for machine learning model training on distributed datasets. 14
omarfoq/fedem Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions. 154