HongleGuo

awesome-federated-learning

Federated Learning related materials, including papers, articles, frameworks, and courses etc.

Awesome-Privacy

Repository for collection of research papers on privacy.

cluster-validity-indices

cluster validity indices for fuzzy c-means

Deep-Learning-for-Beginners

Code Examples of "Deep Learning for Beginners"

distributedMachineLearning

This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.

Federated-Learning-source

he-benchmark

ml_privacy_meter

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

openfl

An open framework for Federated Learning.

private-ml-for-health

Dopamine: Differentially Private Federated Learning on Medical Data (https://arxiv.org/abs/2101.11693)

HongleGuo/private-ml-for-health

Dopamine: Differentially Private Federated Learning on Medical Data (https://arxiv.org/abs/2101.11693)

HongleGuo/awesome-federated-learning

Federated Learning related materials, including papers, articles, frameworks, and courses etc.

HongleGuo/Awesome-Privacy

Repository for collection of research papers on privacy.

HongleGuo/cluster-validity-indices

cluster validity indices for fuzzy c-means

HongleGuo/Deep-Learning-for-Beginners

Code Examples of "Deep Learning for Beginners"

HongleGuo/distributedMachineLearning

This work combines differential privacy and multi-party computation protocol to achieve distributed machine learning.

HongleGuo/Federated-Learning-source

HongleGuo/he-benchmark

HongleGuo/ml_privacy_meter

Machine Learning Privacy Meter: A tool to quantify the privacy risks of machine learning models with respect to inference attacks, notably membership inference attacks

HongleGuo/openfl

An open framework for Federated Learning.

HongleGuo/optuna

A hyperparameter optimization framework

HongleGuo/UnreliableClientsinFL

This code is related to the paper titled: Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design

HongleGuo/WZU-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）