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1.46.1
Federated Learning for Privacy-Preserving Financial Data Generation
Overview
This documentation covers the implementation and usage of a federated learning system for generating synthetic financial data with privacy preservation using RAG (Retrieval-Augmented Generation).
Quick Start
Architecture
The system consists of three main components:
- Federated Learning Framework
- Privacy-Preserving Data Generation
- RAG Integration
Components
- Client Implementation
- Server Coordination
- RAG System
- Privacy Management
- Data Handling
Contributing
Please read our Contributing Guidelines for details on submitting pull requests.
License
This project is licensed under the MIT License - see the LICENSE file for details.