secure-xgboost
Secure collaborative training and inference for XGBoost. (by mc2-project)
delphi
A Cryptographic Inference Service for Neural Networks (by mc2-project)
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| secure-xgboost | delphi | |
|---|---|---|
| 1 | 2 | |
| 101 | 119 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| over 1 year ago | over 1 year ago | |
| C++ | Rust | |
| 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.
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.
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.
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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.
delphi
Posts with mentions or reviews of delphi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-06-17.
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Delphi - A Library for Secure Deep Neural Network Inference
Hi guys! Does anyone know how to use this library? The instructions are in this GitHub repo. I tried several times and failed!
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Announcing MC²: Securely perform analytics and machine learning on confidential data
Delphi: Secure inference for deep neural networks.
What are some alternatives?
When comparing secure-xgboost and delphi you can also consider the following projects:
mc2 - A Platform for Secure Analytics and Machine Learning
cerebro - Cerebro: A platform for Secure Coopetitive Learning
secure-aggregation - Secure aggregation for federated learning using enclaves
federated-xgboost - Federated gradient boosted decision tree learning
cerebro - 🔵 Cerebro is an open-source launcher to improve your productivity and efficiency
opaque-sql - An encrypted data analytics platform
twinning - Data Twinning