FedScale
flpytorch
Our great sponsors
| FedScale | flpytorch | |
|---|---|---|
| 4 | 1 | |
| 363 | 35 | |
| 2.5% | - | |
| 7.9 | 4.1 | |
| 4 months ago | 10 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!
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?
flower - Flower: A Friendly Federated Learning Framework
FederatedScope - An easy-to-use federated learning platform
openfl - An open framework for Federated Learning.
fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
FATE - An Industrial Grade Federated Learning Framework
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.
FedML - FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
PySyft - Perform data science on data that remains in someone else's server