tf-encrypted
horovod
| tf-encrypted | horovod | |
|---|---|---|
| 2 | 1 | |
| 1,192 | 11,889 | |
| 0.5% | - | |
| 0.0 | 9.4 | |
| 7 months ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
tf-encrypted
- What are the technologies to keep the data secure when it's aggregated from multiple sources?
-
Facebook is reportedly trying to analyze encrypted data without deciphering it
There is a TF package for learning on encrypted data. Not familiar with the details or encryption algos supported.
https://github.com/tf-encrypted/tf-encrypted
horovod
-
[P] Cost of distributed deep learning on AWS
Code for https://arxiv.org/abs/1802.05799 found: https://github.com/uber/horovod
What are some alternatives?
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
rxray - Ray distributed computing integration for RxPY
Differential-Privacy-Guide - Differential Privacy Guide
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
openfl - An open framework for Federated Learning.
ray_snowflake - Ray Data Connector for Snowflake
privacy - Library for training machine learning models with privacy for training data
client - DagsHub client libraries
mia - A library for running membership inference attacks against ML models
deep-significance - Enabling easy statistical significance testing for deep neural networks.