SOON TO BE DEPRECATED - The TensorFlow bindings for PySyft
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May 30, 2020 - Python
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pysyft
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Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with privacy guarantees.
deep-learning pytorch medical-imaging image-classification segmentation image-segmentation mri-images homomorphic-encryption differential-privacy medical-image-analysis federated-learning mri-brain mri-segmentation pysyft federated-learning-framework
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Dec 7, 2023 - Python
A simple federated learning implementation on MNIST dataset using PySyft. Main goal of the project was to get used to the PySyft federated learning functionality instead of using traditional PyTorch features.
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Apr 19, 2024 - Python
Securing Collaborative Medical AI by Using Differential Privacy
privacy deep-learning python3 pytorch resnet differential-privacy domain-adaptation chest-xray federated-learning chestxray14 mimic-cxr pysyft chexpert opacus vindr-cxr
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Jan 17, 2024 - Python
The implementation of the "Robust Federated Learning by Mixture of Experts" study.
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May 9, 2021 - Python
This repository will help you to understand how Federated learning can be implemented on Pima Indians Diabetic Dataset. It involves the use of OpenMined tool called Pysyft and Pytorch for implementation.
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Jul 10, 2020 - Python
Master's Thesis: Privacy-preserving botnet detection using federated learning with PyTorch and PySyft. Analyzes network traffic patterns across distributed nodes without centralizing sensitive data. Research conducted at Kennesaw State University CCSE Data Science Lab.
python machine-learning deep-learning traffic-analysis pytorch cybersecurity botnet-detection network-security masters-thesis privacy-preserving federated-learning pysyft
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Feb 9, 2021 - Python
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