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distributedmachinelearning icon distributedmachinelearning

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

ml_privacy_meter icon 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 icon openfl

An open framework for Federated Learning.

optuna icon optuna

A hyperparameter optimization framework

private-ml-for-health icon private-ml-for-health

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

unreliableclientsinfl icon unreliableclientsinfl

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

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