flpytorch
openfl
| flpytorch | openfl | |
|---|---|---|
| 1 | 4 | |
| 35 | 658 | |
| - | 2.7% | |
| 4.1 | 8.5 | |
| 10 months ago | 6 days ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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flpytorch
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[R] [P] FL_PyTorch: Optimization Research Simulator for Federated Learning is publicly available on GitHub.
Repository: https://github.com/burlachenkok/flpytorch
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?
FederatedScope - An easy-to-use federated learning platform
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.
FATE - An Industrial Grade Federated Learning Framework
fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
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.
sparktorch - Train and run Pytorch models on Apache Spark.
tf-encrypted - A Framework for Encrypted Machine Learning in TensorFlow