Training Keyword Spotting Models on Non-IID Data with Federated Learning
Table 4: FR comparisons for on-device labeling strategies.
['Labeling', 'FR (IID) [%]', 'FR (Non-IID) [%]']
While the FR increases when moving to semi-supervised labels, it is expected that the matched data available in true on-device data, coupled with a limited number of samples labeled with user feedback signals, will close the performance gap.