fedjax
openfl
fedjax | openfl | |
---|---|---|
1 | 4 | |
249 | 660 | |
0.4% | 1.7% | |
4.6 | 8.7 | |
7 months ago | 3 days ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
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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.
fedjax
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[R] Google AI 0pen Sources ‘FedJAX’, A JAX-based Python Library for Federated Learning Simulations
A new google study introduces FedJAX, a JAX-based open-source library for federated learning simulations that emphasizes ease-of-use in research. FedJAX intends to construct and assess federated algorithms faster and easier for academics by providing basic building blocks for implementing federated algorithms, preloaded datasets, models, and algorithms, and fast simulation speed.
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?
FATE - An Industrial Grade Federated Learning Framework
PySyft - Perform data science on data that remains in someone else's server
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
sparktorch - Train and run Pytorch models on Apache Spark.
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow
FindTheMag - A tool to determine optimal projects for Gridcoin crunchers. Maximize your magnitude!
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.
flpytorch - FL_PyTorch: Optimization Research Simulator for Federated Learning