1. Introduction
  - Background and significance of federated learning
  - Objectives and scope of the project
2. Literature Review
  - Overview of federated learning techniques
  - Existing frameworks and their limitations
3. System Architecture and Design
  - Selection of privacy-preserving protocols
  - Framework architecture and components
4. Implementation and Integration
  - Development of the federated learning framework
  - Integration with distributed data sources
5. Security and Privacy Analysis
  - Threat modeling and risk assessment
  - Privacy guarantees and security measures