Podcast
Questions and Answers
What is the main challenge in hyperparameter tuning in federated learning?
What is the main challenge in hyperparameter tuning in federated learning?
The need to keep data on device and perform local training makes it difficult to efficiently train and evaluate configurations.
What is the goal of federated hyperparameter tuning?
What is the goal of federated hyperparameter tuning?
To optimize hyperparameters in a distributed network of heterogeneous devices.
How are models learned in federated learning?
How are models learned in federated learning?
Models are learned over a distributed network of heterogeneous devices.
What is the role of standard approaches in federated hyperparameter tuning?
What is the role of standard approaches in federated hyperparameter tuning?
Signup and view all the answers
Why is hyperparameter optimization challenging in federated learning?
Why is hyperparameter optimization challenging in federated learning?
Signup and view all the answers
