Published January 29, 2025
| Version v1
Dataset
Open
Federated SVHN (i.i.d.) and CIFAR-10 (i.i.d. and non-i.i.d.)
Authors/Creators
-
1.
Leipzig University
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2.
Center for Scalable Data Analytics and Artificial Intelligence
Description
Custom federated versions of SVHN and CIFAR-10 datasets used for the experiments in: Federated Learning With Individualized Privacy Through Client Sampling
Please cite this paper as reference.
Further descriptions found in the paper(s).
Files
datasets_custom.zip
Files
(491.5 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:e95efaaad5dc7964f22458cc650e72c0
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491.5 MB | Preview Download |
Additional details
Related works
- Is compiled by
- Publication: arXiv:2501.17634 (arXiv)
- Is derived from
- Publication: https://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf (URL)
- Publication: https://research.google/pubs/reading-digits-in-natural-images-with-unsupervised-feature-learning/ (URL)
Software
- Repository URL
- https://github.com/luckyos-code/flidp