federated-analytics

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

A Cohort Discovery Task Resolver.

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 Federated Proxy for Cohort Discovery

A testbed for Flower Framework

VertiMosaic is an open-source framework for cross-industry vertical federated learning on tabular data, enabling organizations with complementary features to collaboratively train models while keeping raw data local.

Clinical laboratory AI assurance: cross-site benchmarking, population shift detection, CLIA/CAP method verification and medical-director reapproval on federated aggregates

FLAME Node, node-side (data-station) services for the FLAME platform: a privacy-preserving analytics infrastructure for federated data analysis across distributed institutions.

Python federated analytics simulator comparing synchronous and asynchronous aggregation under client delays and dropouts.

Vantage6 algorithm that returns column names

Repository for the paper "On the Federated Detection of Hate Speech"

An interactive ontology of the language used to describe federated analytics in UK health data research. 29 concepts defined for four audiences and mapped to the Five Safes, FAIR, PEDRI and SATRE.

Quantifying statistical heterogeneity using a single-client skewness measure

Atropos Health — independent third-party profile of a public API surface, by API Evangelist. 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 obse