twinning VS secure-xgboost

Compare twinning vs secure-xgboost and see what are their differences.

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twinning secure-xgboost
1 1
24 101
- 2.0%
0.0 0.0
over 1 year ago over 1 year ago
C++ C++
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

twinning

Posts with mentions or reviews of twinning. We have used some of these posts to build our list of alternatives and similar projects.

secure-xgboost

Posts with mentions or reviews of secure-xgboost. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-17.
  • Announcing MC²: Securely perform analytics and machine learning on confidential data
    7 projects | dev.to | 17 Jun 2021
    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.

What are some alternatives?

When comparing twinning and secure-xgboost you can also consider the following projects:

GPBoost - Combining tree-boosting with Gaussian process and mixed effects models

delphi - A Cryptographic Inference Service for Neural Networks

MLPP - A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.

mc2 - A Platform for Secure Analytics and Machine Learning

oneDAL - oneAPI Data Analytics Library (oneDAL)

cerebro - Cerebro: A platform for Secure Coopetitive Learning

SHOGUN - Shōgun

federated-xgboost - Federated gradient boosted decision tree learning

DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

opaque-sql - An encrypted data analytics platform

secure-aggregation - Secure aggregation for federated learning using enclaves