tf-encrypted
horovod
tf-encrypted | horovod | |
---|---|---|
2 | 1 | |
1,203 | 11,889 | |
0.6% | - | |
0.0 | 9.4 | |
11 months ago | almost 3 years ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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tf-encrypted
- What are the technologies to keep the data secure when it's aggregated from multiple sources?
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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
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[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.
seq2seq - A general-purpose encoder-decoder framework for Tensorflow
Differential-Privacy-Guide - Differential Privacy Guide
rxray - Ray distributed computing integration for RxPY
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
deep-significance - Enabling easy statistical significance testing for deep neural networks.
openfl - An open framework for Federated Learning.
client - DagsHub client libraries
privacy - Library for training machine learning models with privacy for training data
ray_snowflake - Ray Data Connector for Snowflake
mia - A library for running membership inference attacks against ML models
livelossplot - Live training loss plot in Jupyter Notebook for Keras, PyTorch and others