Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is federated learning?
💡 Hint: Think about where data is stored.
Question 2
Easy
Why is data privacy important in federated learning?
💡 Hint: Consider the risks of data breaches.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does federated learning primarily aim to protect?
- Data privacy
- Model accuracy
- Computation speed
💡 Hint: Think about what stays on the device.
Question 2
True or False: In federated learning, data needs to be centralized for model training.
- True
- False
💡 Hint: Recall how federated learning operates.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Suppose a healthcare provider uses federated learning but faces data imbalance across its hospitals. Propose a solution to this issue.
💡 Hint: Consider methods that can help offset data discrepancies.
Question 2
A mobile app implements federated learning for predictive typing but detects skewed predictions. What steps would you suggest to address this skew?
💡 Hint: Think about diversity in the datasets contributing to the model.
Challenge and get performance evaluation