Practice Industry Applications - 13.7.2 | 13. Privacy-Aware and Robust Machine Learning | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is Federated Learning?

πŸ’‘ Hint: Think about local data processing.

Question 2

Easy

What does Differential Privacy guarantee?

πŸ’‘ Hint: Consider how individual data impacts privacy.

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 is the primary advantage of Federated Learning?

  • Data is stored on a central server
  • User data remains on devices
  • No updates are made

πŸ’‘ Hint: Consider where the data is processed in Federated Learning.

Question 2

True or False: Differential Privacy allows for the identification of individual data in datasets.

  • True
  • False

πŸ’‘ Hint: Think about the privacy guarantees Differential Privacy offers.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Discuss the ethical implications of user data handling in machine learning and compare Federated Learning and Differential Privacy approaches.

πŸ’‘ Hint: Think about how each technique addresses data security.

Question 2

Design a machine learning application for a health app incorporating Federated Learning and explain how it ensures patient data privacy.

πŸ’‘ Hint: Focus on how local processing enhances confidentiality.

Challenge and get performance evaluation