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ORCIDFrançoise Beaufays
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Publications
- 2023
[c57]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. ICASSP 2023: 1-5- 2022
- [c55]Lillian Zhou, Dhruv Guliani, Andreas Kabel, Giovanni Motta, Françoise Beaufays:
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. ICASSP 2022: 3658-3662 - [c53]Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Partial Variable Training for Efficient on-Device Federated Learning. ICASSP 2022: 4348-4352 - [c50]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP 2022: 8757-8761 - [c48]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022: 1701-1705 - [i30]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. CoRR abs/2205.03494 (2022) - [i29]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR abs/2209.06359 (2022) - 2021
- [c45]Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. ICASSP 2021: 3080-3084 - [i22]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models with Federated Dropout. CoRR abs/2110.03634 (2021) - [i21]Lillian Zhou, Dhruv Guliani, Andreas Kabel, Giovanni Motta, Françoise Beaufays:
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. CoRR abs/2110.04267 (2021) - [i20]Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Partial Variable Training for Efficient On-Device Federated Learning. CoRR abs/2110.05607 (2021) - 2020
- [c42]Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta:
Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. ICASSP 2020: 3017-3021 - [i18]Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta:
Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network. CoRR abs/2001.08885 (2020) - [i14]Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. CoRR abs/2010.15965 (2020) - 2019
- [c40]Khe Chai Sim, Leif Johnson, Giovanni Motta, Lillian Zhou, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang:
Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. ASRU 2019: 23-30 - [i7]Khe Chai Sim, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang, Leif Johnson, Giovanni Motta, Lillian Zhou:
Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. CoRR abs/1912.09251 (2019)
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