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 images: count, failure_count, pixel-intensity histograms. Both paths use FedStatsRecipe generation, simulator validation, completeness checks.

Do Not Use When