FederatedScope vs breaching

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FederatedScope		breaching
	Project
2	Mentions	1
1,198	Stars	242
1.6%	Growth	-
4.5	Activity	0.0
19 days ago	Latest Commit	14 days ago
Python	Language	Python
Apache License 2.0	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

FederatedScope

Posts with mentions or reviews of FederatedScope. We have used some of these posts to build our list of alternatives and similar projects.

This Machine Learning Framework Collaborates Heterogeneous Natural Language Processing Tasks via Federated Learning
1 project | /r/machinelearningnews | 27 Dec 2022

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
Alibaba Introduces ‘FederatedScope’: An Easy-To-Use Federated Learning Platform Providing Comprehensive Functionalities
1 project | /r/bigdata | 8 May 2022

Github: https://github.com/alibaba/FederatedScope

breaching

Posts with mentions or reviews of breaching. We have used some of these posts to build our list of alternatives and similar projects.

[P] Here's our new framework for Privacy Attacks in Federated Learning
1 project | /r/MachineLearning | 21 Feb 2022

We recently uploaded our framework for privacy attacks in federated learning. You can find it here: https://github.com/JonasGeiping/breaching. We include a sizable number of known attacks for deep neural networks in vision and text domains and some new ones.

What are some alternatives?

When comparing FederatedScope and breaching you can also consider the following projects:

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

FATE - An Industrial Grade Federated Learning Framework

pytorch-lightning - The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. [Moved to: https://github.com/PyTorchLightning/pytorch-lightning]

FedScale - FedScale is a scalable and extensible open-source federated learning (FL) platform.

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

federated-xgboost - Federated gradient boosted decision tree learning

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.