Federated Learning Of Out-Of-Vocabulary Words

26 Mar 2019Mingqing ChenRajiv MathewsTom OuyangFrançoise Beaufays

We demonstrate that a character-level recurrent neural network is able to learn out-of-vocabulary (OOV) words under federated learning settings, for the purpose of expanding the vocabulary of a virtual keyboard for smartphones without exporting sensitive text to servers. High-frequency words can be sampled from the trained generative model by drawing from the joint posterior directly... (read more)

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