End-to-End Speech Recognition from Federated Acoustic Models

29 April 2021

Yan Gao

Titouan Parcollet

Salah Zaiem

Javier Fernandez-Marques

Pedro Porto Buarque de Gusmão

Daniel J. Beutel

Nicholas D. Lane

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Papers citing "End-to-End Speech Recognition from Federated Acoustic Models"

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Title
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation Yumin Zhang Yan Gao Haoran Duan Hanqing Guo Tejal Shah R. Ranjan Bo Wei FedML 80 0 0 19 Mar 2025
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning Kin Wai Lau Yasar Abbas Ur Rehman Pedro Porto Buarque de Gusmão L. Po Lan Ma Yuyang Xie FedML 29 0 0 24 Sep 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 37 0 0 04 Jun 2024
Federating Dynamic Models using Early-Exit Architectures for Automatic Speech Recognition on Heterogeneous Clients Mohamed Nabih Ali A. Brutti Daniele Falavigna 39 0 0 27 May 2024
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey Hamza Kheddar Mustapha Hemis Yassine Himeur OffRL 38 59 0 02 Mar 2024
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients Xinchi Qiu Yan Gao Lorenzo Sani Heng Pan Wanru Zhao Pedro Gusmão Mina Alibeigi Alexandru Iacob Nicholas D. Lane FedML 55 3 0 15 Feb 2024
Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding Yasar Abbas Ur Rehman Kin Wai Lau Yuyang Xie Lan Ma Jiajun Shen 75 1 0 05 Feb 2024
Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks Yichao Du Zhirui Zhang Linan Yue Xu Huang Yuqing Zhang Tong Xu Linli Xu Enhong Chen FedML 54 5 0 18 Jan 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 27 6 0 22 Sep 2023
Federated Representation Learning for Automatic Speech Recognition Guruprasad V Ramesh Gopinath Chennupati Milind Rao Anit Kumar Sahu Ariya Rastrow J. Droppo 26 0 0 03 Aug 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning Yasar Abbas Ur Rehman Yan Gao Pedro Gusmão Mina Alibeigi Jiajun Shen Nicholas D. Lane FedML 37 18 0 14 Jul 2023
Ed-Fed: A generic federated learning framework with resource-aware client selection for edge devices Zitha Sasindran Harsha Yelchuri T. V. Prabhakar FedML 16 4 0 14 Jul 2023
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection Tong Xia Jing Han Abhirup Ghosh Cecilia Mascolo FedML 104 7 0 13 Mar 2023
Federated Learning for ASR based on Wav2vec 2.0 Tuan Nguyen Salima Mdhaffar N. Tomashenko J. Bonastre Yannick Esteve FedML 41 10 0 20 Feb 2023
Federated Learning for Data Streams Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 24 11 0 04 Jan 2023
FedAudio: A Federated Learning Benchmark for Audio Tasks Tuo Zhang Tiantian Feng Samiul Alam Sunwoo Lee Mi Zhang Shrikanth S. Narayanan Salman Avestimehr FedML 27 23 0 27 Oct 2022
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale Gopinath Chennupati Milind Rao Gurpreet Chadha Aaron Eakin A. Raju ... Andrew Oberlin Buddha Nandanoor Prahalad Venkataramanan Zheng Wu Pankaj Sitpure CLL 27 8 0 19 Jul 2022
Federated Self-supervised Learning for Video Understanding Yasar Abbas Ur Rehman Yan Gao Jiajun Shen Pedro Porto Buarque de Gusmão Nicholas D. Lane FedML 36 15 0 05 Jul 2022
Protea: Client Profiling within Federated Systems using Flower Wanru Zhao Xinchi Qiu Javier Fernandez-Marques Pedro Porto Buarque de Gusmão Nicholas D. Lane 27 6 0 03 Jul 2022
Decoupled Federated Learning for ASR with Non-IID Data Hanjing Zhu Jindong Wang Gaofeng Cheng Pengyuan Zhang Yonghong Yan 28 10 0 18 Jun 2022
FedNST: Federated Noisy Student Training for Automatic Speech Recognition Haaris Mehmood A. Dobrowolska Karthikeyan P. Saravanan Mete Ozay 16 7 0 06 Jun 2022
Federated Self-supervised Speech Representations: Are We There Yet? Yan Gao Javier Fernandez-Marques Titouan Parcollet Abhinav Mehrotra Nicholas D. Lane 35 13 0 06 Apr 2022
Federated Domain Adaptation for ASR with Full Self-Supervision J. Jia Jay Mahadeokar Weiyi Zheng Yuan Shangguan Ozlem Kalinli Frank Seide 24 13 0 30 Mar 2022
Federated Self-Supervised Learning for Acoustic Event Classification Meng Feng Chieh-Chi Kao Qingming Tang Ming Sun Viktor Rozgic Spyros Matsoukas Chao Wang 41 11 0 22 Mar 2022
Federated Learning in ASR: Not as Easy as You Think Wentao Yu J. Freiwald Soren Tewes F. Huennemeyer D. Kolossa FedML 27 17 0 30 Sep 2021
Federated Self-Training for Semi-Supervised Audio Recognition Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi FedML 34 15 0 14 Jul 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 183 267 0 26 Feb 2021
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 23 78 0 13 Oct 2020
pyannote.audio: neural building blocks for speaker diarization H. Bredin Ruiqing Yin Juan Manuel Coria G. Gelly Pavel Korshunov Marvin Lavechin D. Fustes Hadrien Titeux Wassim Bouaziz Marie-Philippe Gill 191 312 0 04 Nov 2019