FedScale
ORBIT-Dataset
Our great sponsors
| FedScale | ORBIT-Dataset | |
|---|---|---|
| 4 | 2 | |
| 365 | 85 | |
| 3.0% | - | |
| 7.9 | 0.0 | |
| 4 months ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
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!
ORBIT-Dataset
- Is there a dataset for personal items?
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Microsoft Releases ‘ORBIT’ Dataset: A Real-World Few-Shot Dataset for Teachable Object Recognition
Quick 5 Min Read |Paper| Github | Microsoft Blog
What are some alternatives?
flower - Flower: A Friendly Federated Learning Framework
mmfewshot - OpenMMLab FewShot Learning Toolbox and Benchmark
FederatedScope - An easy-to-use federated learning platform
synthetic-computer-vision - A list of synthetic dataset and tools for computer vision
fedjax - FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.
Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation： A Benchmark
datasets - TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
pycococreator - Helper functions to create COCO datasets
FATE - An Industrial Grade Federated Learning Framework
breaching - Breaching privacy in federated learning scenarios for vision and text
automlbenchmark - OpenML AutoML Benchmarking Framework
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down: