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Top 16 Python federated-learning Projects
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FedML
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
Project mention: Awesome-Federated-Learning: A curated list of federated learning publications, re-organized from Arxiv (mostly). | /r/FederatedLearning | 2023-03-30 -
Sonar
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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Flower , an open-source framework for training AI on distributed data. We move the model to the data instead of moving the data to the model. (https://flower.dev/)
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Project mention: This Machine Learning Framework Collaborates Heterogeneous Natural Language Processing Tasks via Federated Learning | /r/machinelearningnews | 2022-12-27
Quick Read: https://www.marktechpost.com/2022/12/27/this-machine-learning-framework-collaborates-heterogeneous-natural-language-processing-tasks-via-federated-learning/ Paper: https://arxiv.org/pdf/2212.05789v1.pdf Github: https://github.com/alibaba/federatedscope
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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.
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Project mention: University of Michigan Researchers Open-Source ‘FedScale’: a Federated Learning (FL) Benchmarking Suite with Realistic Datasets and a Scalable Runtime to Enable Reproducible FL Research on Privacy-Preserving Machine Learning | /r/machinelearningnews | 2022-07-23
Continue reading | Checkout the paper, github link
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fedjax
FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
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InfluxDB
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
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Federated-Learning-PyTorch
Handy PyTorch implementation of Federated Learning (for your painless research)
Project mention: Don't bother to prepare raw LEAF benchmark datasets manually | /r/FederatedLearning | 2023-04-20I have completed re-factoring of my FL simulation repo.:(https://github.com/vaseline555/Federated-Learning-PyTorch)
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Federated-Learning-Backdoor
ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
Project mention: [R] Correct way to implement client-level DP in Federated Learning | /r/MachineLearning | 2023-04-11Take a look at https://github.com/kiddyboots216/CommEfficient (branch -> attacks) and https://github.com/jhcknzzm/Federated-Learning-Backdoor
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Project mention: [R] [P] FL_PyTorch: Optimization Research Simulator for Federated Learning is publicly available on GitHub. | /r/MachineLearning | 2022-07-27
Repository: https://github.com/burlachenkok/flpytorch
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Federated-Recommendation-Neural-Collaborative-Filtering
Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.
AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering (github.com)
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Project mention: Federated neural collaborative filtering recommendation system | /r/learnmachinelearning | 2023-03-20
Implementation of federated recommendation system based on a neural collaborative filtering model - federeco.
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SaaSHub
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
The latest post mention was on 2023-05-23.
Python federated-learning related posts
- March 2023
- Federated-Recommendation-Neural-Collaborative-Filtering
- collectively-powered LLM
- Dectralized AI solutions/building blocks?
- Awesome-Federated-Learning: A curated list of federated learning publications, re-organized from Arxiv (mostly).
- Transformer fine-tuning on decentralized data
- Launch HN: Flower (YC W23) – Train AI models on distributed or sensitive data
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A note from our sponsor - InfluxDB
www.influxdata.com | 4 Jun 2023
Index
What are some of the best open-source federated-learning projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | FATE | 5,037 |
| 2 | FedML | 2,815 |
| 3 | flower | 2,612 |
| 4 | FederatedScope | 937 |
| 5 | openfl | 538 |
| 6 | FedScale | 301 |
| 7 | fedjax | 230 |
| 8 | Federated-Learning-PyTorch | 199 |
| 9 | breaching | 177 |
| 10 | msrflute | 161 |
| 11 | FedCV | 60 |
| 12 | Federated-Learning-Backdoor | 39 |
| 13 | flpytorch | 28 |
| 14 | openRiskScore | 19 |
| 15 | Federated-Recommendation-Neural-Collaborative-Filtering | 15 |
| 16 | federeco | 3 |
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SaaSHub helps you find the best software and product alternatives
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