openfl
tf-encrypted
openfl | tf-encrypted | |
---|---|---|
4 | 2 | |
660 | 1,192 | |
1.7% | 0.5% | |
8.7 | 0.0 | |
5 days ago | 7 months ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
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openfl
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Dectralized AI solutions/building blocks?
We have petals.ml for distributing running a single model large model for inference. We have [flower](flower.dev),tensor flow federated,openfl, etc for building federated learning.
- Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
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[R][P] OpenFL: An open-source framework for Federated Learning
Code for https://arxiv.org/abs/2105.06413 found: https://github.com/intel/openfl
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
What are some alternatives?
PySyft - Perform data science on data that remains in someone else's server
stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
FATE - An Industrial Grade Federated Learning Framework
horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]
fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
Differential-Privacy-Guide - Differential Privacy Guide
sparktorch - Train and run Pytorch models on Apache Spark.
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!
privacy - Library for training machine learning models with privacy for training data
FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.
mia - A library for running membership inference attacks against ML models