title: Grid Search Applicable for TFF and FL.?
body: <p>I'm currently researching with TFF and image classification (Federated Learning for Image Classification) emnist.</p>
  
  <p>I'm looking at hyper parameters for the model learning rate and optimizer. Is grid search a good approach here ? . In a real world scenario would you simply sample clients/devices from the overall domain and if so if I was to do a grid search would I have to fix my client samples 1st. In which case does it make sense to do the grid search. </p>
  
  <p>What would be a typical real world way of selecting parameters, ie is this more a heuristic approach. ?</p>
  
  <p>Colin . . .</p>