( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Partial Variable Training for Efficient on-Device Federated Learning.

, , , и . ICASSP, стр. 4348-4352. IEEE, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Françoise Rat

Françoise Dorison

Françoise Cartwright

Françoise Rampelberg

Françoise Krüger

 

Другие публикации лиц с тем же именем

Deploying GOOG-411: Early lessons in data, measurement, and testing., , , , и . ICASSP, стр. 5260-5263. IEEE, (2008)Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities., , , , , , , , , и 2 other автор(ы). ASRU, стр. 23-30. IEEE, (2019)Partial Variable Training for Efficient on-Device Federated Learning., , , и . ICASSP, стр. 4348-4352. IEEE, (2022)Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition., , , , , , и . ICASSP, стр. 6632-6636. IEEE, (2022)Unsupervised discovery and training of maximally dissimilar cluster models., , и . INTERSPEECH, стр. 66-69. ISCA, (2010)Application of neural networks to load-frequency control in power systems., , и . Neural Networks, 7 (1): 183-194 (1994)Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition, , и . (мая 2014)cite arxiv:1402.1128.On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech., , , , и . CoRR, (2021)Learnings and innovations in speech recognition.. ICCI*CC, стр. 4. IEEE Computer Society, (2016)Enabling On-Device Training of Speech Recognition Models With Federated Dropout., , , , , , , и . ICASSP, стр. 8757-8761. IEEE, (2022)