Practice Federated Learning - 12.4.2 | 12. Scalability & Systems | 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 how it might protect user data.

Question 2

Easy

What do we share instead of raw data in federated learning?

πŸ’‘ Hint: Focus on 'updates' versus 'data'.

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?

  • Faster training
  • Increased privacy
  • Simplicity of use

πŸ’‘ Hint: Consider its approach to data handling.

Question 2

True or False: In federated learning, raw data is shared with the central server.

  • True
  • False

πŸ’‘ Hint: Reflect on what makes it a privacy-preserving technique.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a federated learning system for a fitness app that collects activity data from users while preserving data privacy.

πŸ’‘ Hint: Focus on what data is essential for improving suggestions without compromising privacy.

Question 2

Evaluate the potential impact of using federated learning in an online banking application. What are the pros and cons?

πŸ’‘ Hint: Consider user comfort against the need for security.

Challenge and get performance evaluation