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homomorpheR 1.0

Reference
- Start here
- Introduction to homomorpheR
- Precision
- Queries and aggregation
- Privacy-Preserving Count Aggregation
- Distributed Query Count with Threshold Keys
- Fitting models across sites
- Distributed Maximum Likelihood Estimation
- Distributed Stratified Cox Regression
- Distributed Cox Regression with Threshold Key Generation
- Federated Cox-Lasso via Consensus ADMM on DLBCL
- Prediction and retrieval
- Secure Model Inference on Encrypted Data
- Encrypted Logistic Regression Prediction
- Federated Cosine Similarity with Site-Private Fine-Tuned Models
- Adding Gaussian noise
- Threshold Cox with Gaussian Noise (Demonstration)
- Consensus ADMM with Gaussian Noise (Demonstration)
Changelog

License

YEAR: 2015
COPYRIGHT HOLDER: Balasubramanian Narasimhan

Developed by Balasubramanian Narasimhan.

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