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Sakinat-Folorunso/federated-learning-tutorial-WAI-Virtual-Workshop

Domain:

healthcare

Record type:

software
Creator:
Sak
Host:
Interactive federated learning tutorial using Flower and TensorFlow on a synthetic malaria dataset. Includes neural network customization, client simulation, and privacy-preserving collaborative training. Developed for the Women in AI Nigeria Workshop. # federated-learning-tutorial-WAI-Virtual-Workshop Interactive federated learning tutorial using Flower and TensorFlow on a synthetic malaria dataset. Includes neural network customization, client simulation, and privacy-preserving collaborative training. Developed for the Women in AI Nigeria Workshop. Federated Learning Tutorial: Malaria Diagnosis Interactive federated learning tutorial using Flower, TensorFlow, and a synthetic malaria dataset. Developed for the Women in AI Nigeria Workshop. # You can open the notebook for the federated learning by clicking on the COLAB BADGE BELOW. It will take you directly to google colab .ipynb) Features - Simulate multiple clinics (clients) collaboratively training a malaria diagnosis model. - Customizable neural network architectures using interactive widgets. - Privacy-preserving federated learning using Flower. - Performance visualization and final evaluation. How to Use 1. Open the notebook in Google Colab. 2. Upload the malaria dataset CSV to `/your/storage location/` as specified in the notebook. 3. Run all cells step-by-step. 4. Adjust architecture and client settings using the widgets. Files | File Name | Description | |----------------------------------------------------|----------------------------------------------------| | `malaria_federated_flower_colab_interactive_full.ipynb` | Interactive Colab notebook. | | `README.md` | Project overview and usage instructions. | | `LICENSE` | Project license (MIT). | # Other Application Areas 1. Healthcare 2. Agriculture 3. Finance 4. Cultural AI 5. IOT 6. Cyber Security 7. Smart Cities Traffic 8. Retail 9. Education # Note that the other datasets uploaded can also be used with the notebook uploade. You just need to replace the dataset. Lice …

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