🤖 Federated Learning & Retrieval-Augmented Generation 🚀

Welcome to the Federated Learning (FL) and Retrieval-Augmented Generation (RAG) Notebook!
This repository provides an in-depth look at how to build AI models that preserve privacy while leveraging decentralized data and advanced retrieval techniques.

📚 Overview

Want to train AI models securely across devices without sharing sensitive data? This project combines FL and RAG to achieve:

• Privacy-Preserving Learning: Train models across decentralized devices without exposing raw data.
• Enhanced AI Performance: Use RAG to fine-tune AI with powerful retrieval methods for smarter outputs.

Key Highlights:

• 🌐 Choosing the Right Architecture: Step-by-step code for setting up FL and RAG.
• 📊 Managing Data Across Devices: Decentralized data handling made simple.
• 🛠️ Fine-Tuning Retrieval Models: Maximize AI performance with RAG optimization.
• 🔒 Ensuring Secure Communication: Implement privacy mechanisms for FL.

🛠️ Getting Started

Clone this repository and start experimenting!

git clone https://github.com/your-repo/fl-rag.git
cd fl-rag