FATE
openfl
| FATE | openfl | |
|---|---|---|
| 2 | 4 | |
| 5,518 | 660 | |
| 0.8% | 1.7% | |
| 9.9 | 8.7 | |
| 7 days ago | 6 days ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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.
FATE
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[D] Federated Learning Libraries in 2022?
FATE is very popular in China.
- Federated Learning
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
What are some alternatives?
flower - Flower: A Friendly Federated Learning Framework
PySyft - Perform data science on data that remains in someone else's server
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
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.
FederatedScope - An easy-to-use federated learning platform
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!
breaching - Breaching privacy in federated learning scenarios for vision and text
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.