secure-aggregation
Secure aggregation for federated learning using enclaves (by mc2-project)
secure-xgboost
Secure collaborative training and inference for XGBoost. (by mc2-project)
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| secure-aggregation | secure-xgboost | |
|---|---|---|
| 1 | 1 | |
| 4 | 101 | |
| - | - | |
| 3.2 | 0.0 | |
| about 3 years ago | over 1 year ago | |
| C++ | C++ | |
| - | 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-aggregation
Posts with mentions or reviews of secure-aggregation.
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.
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.
What are some alternatives?
When comparing secure-aggregation and secure-xgboost you can also consider the following projects:
delphi - A Cryptographic Inference Service for Neural Networks
mc2 - A Platform for Secure Analytics and Machine Learning
cerebro - Cerebro: A platform for Secure Coopetitive Learning
opaque-sql - An encrypted data analytics platform
federated-xgboost - Federated gradient boosted decision tree learning
twinning - Data Twinning