1. The Evolution of Machine Learning: From Centralized to Distributed 2. Types of Federated Learning and Aggregation Techniques 3. Federated Learning for IoT/Edge/Fog Computing Systems 4. Adopting Federated Learning for Software-Defined Networks 5. Federated Learning in the Internet of Medical Things 6. Federated Learning Approaches for Intrusion Detection Systems: An Overview 7. Exploring Communication Efficient Strategies in Federated Learning Systems 8. Federated Learning and Privacy, Challenges, Threat and Attack Models, and Analysis 9. Analyzing Federated Learning from a Security Perspective 10. Blockchain Integrated Federated Learning in Edge/Fog/Cloud Systems for IoT-Based Healthcare Applications: A Survey 11. Incentive Mechanism for Federated Learning 12. Protected Shot-Based Federated Learning for Facial Expression Recognition