Aishanee Shah
Aishanee Shah is a Software Engineer at Google. During her time at Google, Aishanee has built and launched ML systems across embedded speech (wakeword), Cloud Healthcare, and coding agents. Her work focuses on measuring and optimizing systems that exhibit complex, non-deterministic behaviors.
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Training Keyword Spotting Models on Non-IID Data with Federated Learning
Cameron Nguyen
Niranjan Subrahmanya
Pai Zhu
Interspeech (2020)
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We demonstrate that a production-quality keyword-spotting model can be trained on-device using federated learning and achieve comparable false accept and false reject rates to a centrally-trained model. To overcome the algorithmic constraints associated with fitting on-device data (which are inherently non-independent and identically distributed), we conduct thorough empirical studies of optimization algorithms and hyperparameter configurations using large-scale federated simulations. And we explore techniques for utterance augmentation and data labeling to overcome the physical limitations of on-device training.
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