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nvflare-fed-stats

Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count, failure_count, pixel-intensity histogram) across NVFLARE sites via FedStatsRecipe — automatic and non-interactive from the dataset, feature names (header or supplied), and optionally a README or notes declaring which statistics to compute; do not use for model training conversion, hierarchical statistics, deployment, POC/production lifecycle, or failed-job diagnosis.

skills/nvflare-fed-stats/SKILL.md

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Nov 6, 2026
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Apache-2.0

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# NVFLARE Federated Statistics

Data-first and automatic: point at tabular or image data and it runs end-to-end —
no interaction, no user statistics code.

## Use When

Use when the user asks to compute statistics, data summaries, histograms,
or quantiles across federated sites for tabular data (CSV, parquet, any
pandas-representable form) or image datasets (PNG/JPEG/BMP/TIFF folders;
DICOM/NIfTI with the matching loader), with or without an accompanying
README/notes or statistics script. Supported for tabular: count, sum,
mean, stddev, var, histogram, quantile, noise-protected min/max (variance
and stddev are distinct — never substitute one for the other); for