openfl VS tf-encrypted

Compare openfl vs tf-encrypted and see what are their differences.

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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
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.

openfl

Posts with mentions or reviews of openfl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

tf-encrypted

Posts with mentions or reviews of tf-encrypted. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing openfl and tf-encrypted you can also consider the following projects:

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