FedScale
fedjax
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| FedScale | fedjax | |
|---|---|---|
| 4 | 1 | |
| 365 | 248 | |
| 3.0% | 0.4% | |
| 7.9 | 4.6 | |
| 4 months ago | 6 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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FedScale
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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
Continue reading | Checkout the paper, github link
- We created the most comprehensive benchmark datasets for federated learning to date!
- The most comprehensive benchmark datasets for federated learning to date!
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The most comprehensive benchmark datasets for federated learning to date
We created FedScale, which has a diverse set of challenging and realistic benchmark datasets to facilitate scalable, comprehensive, and reproducible federated learning (FL) research. FedScale datasets are large-scale, encompassing a diverse range of important FL tasks, such as image classification, object detection, word prediction, and speech recognition. Our evaluation platform provides flexible APIs to implement new FL algorithms and includes new execution backends with minimal developer efforts. Check it out, and feel free to join the FedScale community via Slack(https://join.slack.com/t/fedscale/shared_invite/zt-uzouv5wh-ON8ONCGIzwjXwMYDC2fiKw)!
Paper: https://arxiv.org/abs/2105.11367 and Github repo: https://github.com/symbioticlab/fedscale
Cheers!
fedjax
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[R] Google AI 0pen Sources ‘FedJAX’, A JAX-based Python Library for Federated Learning Simulations
A new google study introduces FedJAX, a JAX-based open-source library for federated learning simulations that emphasizes ease-of-use in research. FedJAX intends to construct and assess federated algorithms faster and easier for academics by providing basic building blocks for implementing federated algorithms, preloaded datasets, models, and algorithms, and fast simulation speed.
What are some alternatives?
flower - Flower: A Friendly Federated Learning Framework
FATE - An Industrial Grade Federated Learning Framework
FederatedScope - An easy-to-use federated learning platform
openfl - An open framework for Federated Learning.
ORBIT-Dataset - The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
openfl - The Open Flash Library for creative expression on the web, desktop, mobile and consoles.
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PySyft - Perform data science on data that remains in someone else's server
breaching - Breaching privacy in federated learning scenarios for vision and text
automlbenchmark - OpenML AutoML Benchmarking Framework