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Featured community build · @kaiser-data

Soteria

A freight-incident example that combines scoped signals from a carrier, supplier and customer, with review for consequential decisions. The author describes fictional data, three nodes on one machine and a rule-based assessor. Explore the source and its stated limits.

Carrier: local incident information
Supplier: replacement and cooling options
Customer: urgency and requirements

Community build · Owkin

FedECA — Owkin

A federated external control arm example for estimating treatment effects from time-to-event data across separate cohorts. The Flower Hub app demonstrates the method with synthetic data.

Input: synthetic cohort data
Process: federated estimation
Output: treatment-effect estimates

Community build · Mozilla AI

Fed Phish Guard — Mozilla AI

A phishing URL detection example built with PyTorch and Flower. It simulates distributed browser clients that process URLs locally and share model updates with a server.

Input: local URL datasets
Process: federated model training
Output: phishing detection model

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