Byzantine-Robust Federated Learning Prototype

This project is a prototype for Byzantine-robust Federated Learning using the Flower (flwr) framework. It aims to provide a secure and robust environment for federated learning, even in the presence of malicious or 'Byzantine' clients.

🚀 Key Features

• Federated Learning: Built with the Flower framework.
• Byzantine Robustness: Designed to handle non-compliant or malicious actors during the training process.
• Prototype Implementation: A foundational setup for testing robust aggregation strategies.

🛠️ Built With

• Python: Core programming language.
• Flower (flwr): For federated learning orchestration.
• GitHub Pages: For documentation and project updates.

⚙️ How to Run

1. Clone the repository:

   git clone https://github.com

2. Install dependencies: (Make sure you have Python installed)

   pip install flwr

3. Run the Server/Clients: Follow the instructions in the project files to initiate the federated learning rounds.

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Built with ❤️ by Arockiya selvi .A