Flower: A Friendly Federated AI Framework
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Updated
Aug 23, 2026 - Python
Flower: A Friendly Federated AI Framework
NVIDIA Federated Learning Application Runtime Environment
An Open Framework for Federated Learning.
The first open Federated Learning framework implemented in C++ and Python.
Privacy-Preserving Data Analysis using Pandas
Central services for the FLAME platform (PrivateAIM), privacy-preserving federated analytics across distributed institutions: analysis orchestration, object storage, telemetry & real-time messaging.
Jupyter Notebooks examples for Vantage6 from a researcher's perspective
A testbed for Flower Framework
Quantifying statistical heterogeneity using a single-client skewness measure
FLAME Node, node-side (data-station) services for the FLAME platform: a privacy-preserving analytics infrastructure for federated data analysis across distributed institutions.
Vantage6 algorithm that returns column names
Repository for the paper "On the Federated Detection of Hate Speech"
Atropos Health is a Stanford-spinout, New York / Bay Area real-world evidence (RWE) company founded in 2020 by Nigam Shah, Brigham Hyde, and Saurabh Gombar to close the medical "evidence gap" by converting routine healthcare data into publication-grade observational studies in minutes instead of months.
Simulates policy-gated decisions across synthetic data custodians.
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