Enabling On-Device Training of Speech Recognition Models with Federated
Dropout

Enabling On-Device Training of Speech Recognition Models with Federated Dropout

7 October 2021

Papers citing "Enabling On-Device Training of Speech Recognition Models with Federated Dropout"

13 / 13 papers shown

Title
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification Andy Dong Wei-Ning Chen Ayfer Özgür FedML 54 1 0 04 Mar 2025
Federated Learning of Large ASR Models in the Real World Yonghui Xiao Yuxin Ding Changwan Ryu P. Zadrazil Francoise Beaufays AI4CE 36 0 0 19 Aug 2024
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition Xuan Kan Yonghui Xiao Tien-Ju Yang Nanxin Chen Rajiv Mathews FedML 21 0 0 19 Aug 2024
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients Mohamed Nabih Ali A. Brutti Daniele Falavigna 34 0 0 27 May 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 29 10 0 05 Mar 2024
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey Hamza Kheddar Mustapha Hemis Yassine Himeur OffRL 38 59 0 02 Mar 2024
Federated Learning with Differential Privacy for End-to-End Speech Recognition Martin Pelikan Sheikh Shams Azam Vitaly Feldman Jan Honza Silovsky Kunal Talwar Tatiana Likhomanenko 30 8 0 29 Sep 2023
Importance of Smoothness Induced by Optimizers in FL4ASR: Towards Understanding Federated Learning for End-to-End ASR Sheikh Shams Azam Tatiana Likhomanenko Martin Pelikan Jan Honza Silovsky 15 6 0 22 Sep 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 40 31 0 18 Dec 2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning Rongmei Lin Yonghui Xiao Tien-Ju Yang Ding Zhao Li Xiong Giovanni Motta Franccoise Beaufays FedML 31 12 0 14 Sep 2022
Decoupled Federated Learning for ASR with Non-IID Data Hanjing Zhu Jindong Wang Gaofeng Cheng Pengyuan Zhang Yonghong Yan 23 10 0 18 Jun 2022
Online Model Compression for Federated Learning with Large Models Tien-Ju Yang Yonghui Xiao Giovanni Motta F. Beaufays Rajiv Mathews Mingqing Chen FedML MQ 38 8 0 06 May 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 184 411 0 14 Jul 2021