tf-encrypted VS openfl

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

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tf-encrypted openfl
2 4
1,192 660
0.5% 1.7%
0.0 8.7
7 months ago 4 days ago
Python Jupyter Notebook
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.

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.

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.

What are some alternatives?

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

stanford-tensorflow-tutorials - This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

PySyft - Perform data science on data that remains in someone else's server

horovod - Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. [Moved to: https://github.com/horovod/horovod]

FATE - An Industrial Grade Federated Learning Framework

Differential-Privacy-Guide - Differential Privacy Guide

fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.

sparktorch - Train and run Pytorch models on Apache Spark.

privacy - Library for training machine learning models with privacy for training data

FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!

mia - A library for running membership inference attacks against ML models

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.