secure-xgboost
Secure collaborative training and inference for XGBoost. (by mc2-project)
cerebro
Cerebro: A platform for Secure Coopetitive Learning (by mc2-project)
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| secure-xgboost | cerebro | |
|---|---|---|
| 1 | 1 | |
| 101 | 19 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | over 2 years ago | |
| C++ | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
-
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.
cerebro
Posts with mentions or reviews of cerebro.
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
Cerebro: A general purpose Python DSL for learning with secure multiparty computation.
What are some alternatives?
When comparing secure-xgboost and cerebro you can also consider the following projects:
delphi - A Cryptographic Inference Service for Neural Networks
mc2 - A Platform for Secure Analytics and Machine Learning
opaque-sql - An encrypted data analytics platform
federated-xgboost - Federated gradient boosted decision tree learning
secure-aggregation - Secure aggregation for federated learning using enclaves
twinning - Data Twinning