Improving on-device speaker verification using federated learning with privacy

6 August 2020

Rogier van Dalen

Stephen Shum

Papers citing "Improving on-device speaker verification using federated learning with privacy"

31 / 31 papers shown

Title
Regularized Federated Learning for Privacy-Preserving Dysarthric and Elderly Speech Recognition Tao Zhong Mengzhe Geng Shujie Hu Guinan Li Xunying Liu 46 0 0 02 Jun 2025
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments Pengcheng Sun Erwu Liu Wei Ni Rui Wang Yuanzhe Geng Lijuan Lai Abbas Jamalipour 32 0 0 26 May 2025
Privacy-Preserving Edge Speech Understanding with Tiny Foundation Models A. Benazir Felix Xiaozhu Lin 128 1 0 29 Jan 2025
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 103 0 0 04 Jun 2024
pfl-research: simulation framework for accelerating research in Private Federated Learning Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 90 6 0 09 Apr 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 71 3 0 07 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 93 2 0 05 Jan 2024
Mobile Foundation Model as Firmware Jinliang Yuan Chenchen Yang Dongqi Cai Shihe Wang Xin Yuan ... Di Zhang Hanzi Mei Xianqing Jia Shangguang Wang Mengwei Xu 120 22 0 28 Aug 2023
Federated Representation Learning for Automatic Speech Recognition Guruprasad V Ramesh Gopinath Chennupati Milind Rao Anit Kumar Sahu Ariya Rastrow J. Droppo 66 0 0 03 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 161 14 0 27 Jul 2023
Federated Self-Learning with Weak Supervision for Speech Recognition Milind Rao Gopinath Chennupati Gautam Tiwari Anit Kumar Sahu A. Raju Ariya Rastrow J. Droppo 87 3 0 21 Jun 2023
Privacy in Speech Technology Tomas Bäckström 94 4 0 09 May 2023
Speech Privacy Leakage from Shared Gradients in Distributed Learning Zhuohang Li Jiaxin Zhang Jian-Dong Liu FedML 71 1 0 21 Feb 2023
Federated Learning for ASR based on Wav2vec 2.0 Tuan Nguyen Salima Mdhaffar N. Tomashenko J. Bonastre Yannick Esteve FedML 97 10 0 20 Feb 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 108 34 0 18 Dec 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 97 8 0 19 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 80 28 0 18 Jul 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning Marc Juárez Aleksandra Korolova FedML 81 10 0 24 Jun 2022
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training Andrew Straiton Hard Kurt Partridge Neng Chen S. Augenstein Aishanee Shah ... Sara Ng Jessica Nguyen Ignacio López Moreno Rajiv Mathews F. Beaufays FedML 89 14 0 11 Apr 2022
Federated Self-supervised Speech Representations: Are We There Yet? Yan Gao Javier Fernandez-Marques Titouan Parcollet Abhinav Mehrotra Nicholas D. Lane 75 13 0 06 Apr 2022
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning Ziyao Liu Jiale Guo Kwok-Yan Lam Jun Zhao 80 84 0 31 Mar 2022
Adversarial Speaker Distillation for Countermeasure Model on Automatic Speaker Verification Yen-Lun Liao Xuan-Bo Chen Chung-Che Wang J. Jang AAML 110 8 0 31 Mar 2022
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage Zhuohang Li Jiaxin Zhang Lu Liu Jian-Dong Liu FedML 86 122 0 29 Mar 2022
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities Tuo Zhang Lei Gao Chaoyang He Mi Zhang Bhaskar Krishnamachari Salman Avestimehr FedML 101 177 0 15 Nov 2021
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework N. Tomashenko Salima Mdhaffar Marc Tommasi Yannick Esteve J. Bonastre 86 25 0 06 Nov 2021
Efficient and Private Federated Learning with Partially Trainable Networks Hakim Sidahmed Zheng Xu Ankush Garg Yuan Cao Mingqing Chen FedML 124 13 0 06 Oct 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 108 56 0 17 Sep 2021
End-to-End Speech Recognition from Federated Acoustic Models Yan Gao Titouan Parcollet Salah Zaiem Javier Fernandez-Marques Pedro Porto Buarque de Gusmão Daniel J. Beutel Nicholas D. Lane 96 44 0 29 Apr 2021
Federated Learning of User Verification Models Without Sharing Embeddings H. Hosseini Hyunsin Park Sungrack Yun Christos Louizos Joseph B. Soriaga Max Welling FedML 46 24 0 18 Apr 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 276 128 0 16 Feb 2021
Paralinguistic Privacy Protection at the Edge Ranya Aloufi Hamed Haddadi David E. Boyle 70 14 0 04 Nov 2020