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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does communication overhead refer to in federated learning?
💡 Hint: Think about the resources required to keep the communication flowing.
Question 2
Easy
What does data heterogeneity mean?
💡 Hint: Consider how data might vary across different users or devices.
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 one main challenge of federated learning?
- Data privacy
- Communication overhead
- Model complexity
💡 Hint: Remember the different challenges we discussed in class.
Question 2
True or False: Data heterogeneity refers to clients having identical data distributions.
- True
- False
💡 Hint: Think about the variability in data coming from different users.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a federated learning system that minimizes communication overhead. What strategies would you implement?
💡 Hint: Consider how the volume of data can be reduced.
Question 2
Propose a methodology for detecting malicious clients in your federated learning framework. What steps would you take?
💡 Hint: Think about securing data integrity from the client side.
Challenge and get performance evaluation