app(flowerhub): add FedXGBoost for financial fraud detection implementation#6807
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eo4929 wants to merge 6 commits intoflwrlabs:mainfrom
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app(flowerhub): add FedXGBoost for financial fraud detection implementation#6807eo4929 wants to merge 6 commits intoflwrlabs:mainfrom
eo4929 wants to merge 6 commits intoflwrlabs:mainfrom
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Pull request overview
Adds a new Flower Hub app implementing a federated XGBoost-based workflow for financial fraud detection, including client/server apps, data utilities, and ensemble aggregation.
Changes:
- Introduces a Flower
ServerApp/ClientApptraining + evaluation loop for “FedXGBBagging”. - Adds dataset preprocessing, partitioning utilities, and XGBoost model (de)serialization helpers.
- Adds a large
fed_xgb_bagging.pymodule implementing bagging and similarity-based aggregation utilities.
Reviewed changes
Copilot reviewed 6 out of 6 changed files in this pull request and generated 9 comments.
Show a summary per file
| File | Description |
|---|---|
| examples/FinancialFraudDetection-app/pyproject.toml | Declares the app package metadata, dependencies, and Flower app entrypoints/config. |
| examples/FinancialFraudDetection-app/frauddetection/task.py | Implements preprocessing, data loading/partitioning, training, evaluation, and model serialization helpers. |
| examples/FinancialFraudDetection-app/frauddetection/server_app.py | Implements the federated orchestration loop, collects per-round client models, builds an ensemble, and runs evaluation. |
| examples/FinancialFraudDetection-app/frauddetection/client_app.py | Implements per-client local training and evaluation handlers and transmits serialized boosters. |
| examples/FinancialFraudDetection-app/frauddetection/fed_xgb_bagging.py | Adds ensemble/bagging and similarity-based utilities used server-side for prediction/evaluation. |
| examples/FinancialFraudDetection-app/frauddetection/init.py | Adds package marker and module docstring. |
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This app has been published on Flower Hub --- https://flower.ai/apps/mainthread/federated-fraud-detection/ |
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Summary
Validation
I follow some instructions written in https://www.notion.so/flowerlabs/Guide-How-to-Publish-Apps-on-Flower-Hub-1d1d8ccd59cf8073a742da2c83ceb89b.