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Glossary
Flower Datasets
Flower Datasets is a library for creating federated learning datasets by either partitioning centralized data to simulate heterogeneity or using naturally partitioned datasets.
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Flower Datasets is a library by the Flower Labs team that helps create datasets for federated learning, analytics, and evaluation. It supports both naturally partitioned datasets and simulated heterogeneity from centralized data.
Key features:
- Download datasets (powered by HuggingFace datasets)
- Partition data with built-in or custom schemes
- Generate centralized versions
- Ensure reproducible experiments
- Visualize partitions
- Framework-agnostic for easy ML integration
It's designed to complement and integrate seamlessly with Flower.