Practice Federated Learning (12.4.2) - Scalability & Systems - Advance Machine Learning
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Federated Learning

Practice - Federated Learning

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is federated learning?

💡 Hint: Think about how it might protect user data.

Question 2 Easy

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

💡 Hint: Focus on 'updates' versus 'data'.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary advantage of federated learning?

Faster training
Increased privacy
Simplicity of use

💡 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

💡 Hint: Reflect on what makes it a privacy-preserving technique.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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

💡 Hint: Focus on what data is essential for improving suggestions without compromising privacy.

Challenge 2 Hard

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

💡 Hint: Consider user comfort against the need for security.

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