secure-xgboost
twinning
secure-xgboost | twinning | |
---|---|---|
1 | 1 | |
101 | 24 | |
2.0% | - | |
0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
C++ | C++ | |
Apache License 2.0 | Apache License 2.0 |
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secure-xgboost
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Announcing MC²: Securely perform analytics and machine learning on confidential data
The MC2 Compute Services: MC2 offers several compute services: these include Spark SQL, distributed XGBoost, and secure aggregation for federated learning. All are intended to run in a primarily untrusted environment, such as a cluster of machines hosted on a public cloud, that has support for trusted execution environments (hardware enclaves). Data is encrypted in transit using a client key and only ever decrypted inside hardware enclaves, providing the previously mentioned security guarantees for data-in-use. For all compute services, MC2 leverages the Open Enclave SDK, a project intended to provide a consistent API for a variety of different enclave architectures.
twinning
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[R] [S] Data Twinning
The R package for twinning can be installed from CRAN, and the Python module from GitHub.
What are some alternatives?
delphi - A Cryptographic Inference Service for Neural Networks
GPBoost - Combining tree-boosting with Gaussian process and mixed effects models
mc2 - A Platform for Secure Analytics and Machine Learning
MLPP - A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
cerebro - Cerebro: A platform for Secure Coopetitive Learning
oneDAL - oneAPI Data Analytics Library (oneDAL)
federated-xgboost - Federated gradient boosted decision tree learning
SHOGUN - Shōgun
opaque-sql - An encrypted data analytics platform
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
secure-aggregation - Secure aggregation for federated learning using enclaves