Federated Learning with Python

Table of Contents

1. Challenges in Big Data and Traditional AI
2. What Is Federated Learning?
3. Workings of the Federated Learning System
4. Federated Learning Server Implementation with Python
5. Federated Learning Client-Side Implementation
6. Running the Federated Learning System and Analyzing the Results
7. Model Aggregation
8. Introducing Existing Federated Learning Frameworks
9. Case Studies with Key Use Cases of Federated Learning Applications
10. Future Trends and Developments
11. Appendix, Exploring Internal Libraries