Federated-Correlation-Test

Federated Correlation Test Framework

An evaluation framework for federated correlation tests and entropy estimation in various domains

This repository contains the evaluation code for the ICML'23 paper: Secure Federated Correlation Test and Entropy Estimation.

GitHub

8 stars
2 watching
0 forks
Language: Python
last commit: over 3 years ago

Related projects:

RepositoryDescriptionStars
federatedai/fate-testA collection of tools and tests for evaluating the performance of federated machine learning systems1
clu5/federated-conformalA framework for incorporating uncertainty quantification into federated learning models10
haozzh/fedcrEvaluates various methods for federated learning on different models and tasks.19
fangxiuwen/robust_flAn implementation of a robust federated learning framework for handling noisy and heterogeneous clients in machine learning.43
jianyizhang123/flopAn experiment comparing different federated learning approaches for image classification tasks with non-iid datasets.8
cuis15/fcflAn implementation of Fair and Consistent Federated Learning using Python.20
kai-yue/ntk-fedA framework for federated learning that leverages the neural tangent kernel to address statistical heterogeneity in distributed machine learning.3
wenkehuang/fcclA framework for tackling heterogeneity and catastrophic forgetting in federated learning by leveraging cross-correlation and similarity learning97
omarfoq/fedemDevelops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.157
mediabrain-sjtu/pfedgraphThis project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets.26
eth-sri/bayes-framework-leakageDevelops and evaluates a framework for detecting attacks on federated learning systems11
chunmeifeng/fedprAn algorithm for learning federated visual prompts in null space to improve MRI reconstruction performance on limited local data and reduced communication costs45
shenzebang/federated-learning-pytorchA PyTorch-based framework for Federated Learning experiments40
rong-dai/dispflAn implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.72
xiyuanyang45/dynamicpflA method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness57