Federated Learning Questions and Answers
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Created this 8 months ago
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1. What is Federated Learning (FL)?
2. What are the benefits of Federated Learning?
3. What are the challenges of Federated Learning?
4. How does Federated Learning work?
5. What are the applications of Federated Learning?
6. How can data privacy be ensured in Federated Learning?
7. What are the different types of Federated Learning architectures?
8. How does Federated Learning address data heterogeneity?
9. What are the ethical considerations in Federated Learning?
10. How can Federated Learning be used to improve healthcare?
11. What are the limitations of Federated Learning?
12. How is Federated Learning different from traditional machine learning?
13. What are the evaluation metrics for Federated Learning models?
14. How can Federated Learning be implemented in practice?
15. What are the future directions for Federated Learning?
16. How does Federated Learning contribute to the field of artificial intelligence?
17. What are the security and privacy concerns associated with Federated Learning?
18. How can Federated Learning be used to enable collaboration between different organizations?
19. What are the potential societal impacts of Federated Learning?