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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is differential privacy?
💡 Hint: Think about how we can analyze data while keeping individual identities safe.
Question 2
Easy
Define federated learning in simple terms.
💡 Hint: Consider how smartphones might use this to enhance features.
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 differential privacy ensure?
- Complete data transparency
- Individual data points cannot be identified
- Reduction in overall data quality
💡 Hint: Think about how we want to analyze data without exposing every individual.
Question 2
True or false: Federated learning requires centralizing all training data.
- True
- False
💡 Hint: Consider where the data actually resides in this method.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a secure AI system for personal health data that uses both federated learning and differential privacy techniques. Outline the mechanism and discuss potential challenges.
💡 Hint: Think about how to balance security with learning effectively.
Question 2
Critically analyze the implications of not using privacy-preserving techniques in AI applications, using case studies from healthcare or finance sectors.
💡 Hint: Reflect on recent news articles about data breaches affecting trust.
Challenge and get performance evaluation