Extracting Targeted Training Data from ASR Models, and How to Mitigate It | 0 | 0.34 | 2022 |
UserLibri: A Dataset for ASR Personalization Using Only Text | 0 | 0.34 | 2022 |
Public Data-Assisted Mirror Descent for Private Model Training. | 0 | 0.34 | 2022 |
Detecting Unintended Memorization in Language-Model-Fused ASR | 0 | 0.34 | 2022 |
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. | 0 | 0.34 | 2022 |
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT | 0 | 0.34 | 2022 |
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training | 0 | 0.34 | 2022 |
Communication-Efficient Agnostic Federated Averaging. | 0 | 0.34 | 2021 |
Revealing and Protecting Labels in Distributed Training. | 0 | 0.34 | 2021 |
Generative Models for Effective ML on Private, Decentralized Datasets. | 0 | 0.34 | 2020 |
Generative Models for Effective ML on Private, Decentralized Datasets | 0 | 0.34 | 2020 |
Federated Learning of N-Gram Language Models | 0 | 0.34 | 2019 |
Federated Learning Of Out-Of-Vocabulary Words. | 1 | 0.35 | 2019 |
Federated Learning for Emoji Prediction in a Mobile Keyboard. | 0 | 0.34 | 2019 |
Federated Learning for Mobile Keyboard Prediction. | 11 | 0.56 | 2018 |