FedML
flpytorch
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| FedML | flpytorch | |
|---|---|---|
| 6 | 1 | |
| 4,060 | 35 | |
| 1.9% | - | |
| 9.9 | 4.1 | |
| 5 days ago | 10 months ago | |
| Python | Python | |
| 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.
FedML
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[Experiment] The future of AI is open-source, and here is the plan
FedML https://github.com/FedML-AI/FedML might already provide a lot of tools to do the job
- Awesome-Federated-Learning: A curated list of federated learning publications, re-organized from Arxiv (mostly).
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Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
This is not new at all. There is a much stronger competitor existing in the market already: FedML (https://fedml.ai). They have a much larger open-source community, and a well-managed and widely-used MLOps (https://open.fedml.ai).
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FedML has just released its completely revamped and redesigned AI Platform and Website.
Website: https://fedml.ai Platform: https://open.fedml.ai/
- FedML AI platform releases the world’s federated learning open platform on the public cloud with an in-depth introduction of products and technologies!
- [Discussion] How feasible is it to partition a DNN model into pieces?
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
What are some alternatives?
federated-xgboost - Federated gradient boosted decision tree learning
FederatedScope - An easy-to-use federated learning platform
alpa - Training and serving large-scale neural networks with auto parallelization.
FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.
experta - Expert Systems for Python
openfl - An open framework for Federated Learning.
HandyRL - HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.
FATE - An Industrial Grade Federated Learning Framework
adaptdl - Resource-adaptive cluster scheduler for deep learning training.
PySyft - Perform data science on data that remains in someone else's server
MetisFL - The first open Federated Learning framework implemented in C++ and Python.
flower - Flower: A Friendly Federated Learning Framework