breaching VS FATE

Compare breaching vs FATE and see what are their differences.

breaching

Breaching privacy in federated learning scenarios for vision and text (by JonasGeiping)

FATE

An Industrial Grade Federated Learning Framework (by FederatedAI)
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breaching FATE
1 2
242 5,510
- 0.6%
0.0 9.9
17 days ago about 2 months ago
Python Python
MIT License Apache License 2.0
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.

breaching

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

FATE

Posts with mentions or reviews of FATE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-17.

What are some alternatives?

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

FederatedScope - An easy-to-use federated learning platform

flower - Flower: A Friendly 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]

ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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.

federated-xgboost - Federated gradient boosted decision tree learning

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

openfl - An open framework for Federated Learning.

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]

fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.