Training Keyword Spotting Models on Non-IID Data with Federated Learning

Training Keyword Spotting Models on Non-IID Data with Federated Learning

21 May 2020

Andrew Straiton Hard

Cameron Nguyen

Niranjan A. Subrahmanya

Ignacio López Moreno

Papers citing "Training Keyword Spotting Models on Non-IID Data with Federated Learning"

19 / 19 papers shown

Title
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding ZeLin Li Wei Wang FedML 24 0 0 15 May 2025
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 49 0 0 07 Apr 2025
Confidential Federated Computations Hubert Eichner Daniel Ramage Kallista A. Bonawitz Dzmitry Huba Tiziano Santoro ... Albert Cheu Katharine Daly Adria Gascon Marco Gruteser Brendan McMahan 50 2 0 16 Apr 2024
Analysis of Privacy Leakage in Federated Large Language Models Minh Nhat Vu Truc D. T. Nguyen Tre' R. Jeter My T. Thai 45 6 0 02 Mar 2024
Can Public Large Language Models Help Private Cross-device Federated Learning? Wei Ping Yibo Jacky Zhang Yuan Cao Bo-wen Li H. B. McMahan Sewoong Oh Zheng Xu Manzil Zaheer FedML 29 37 0 20 May 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 51 54 0 17 Mar 2023
Speech Privacy Leakage from Shared Gradients in Distributed Learning Zhuohang Li Jiaxin Zhang Jian-Dong Liu FedML 32 1 0 21 Feb 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 34 1 0 18 Jan 2023
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 24 14 0 11 Apr 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning Vasileios Tsouvalas T. Ozcelebi N. Meratnia 34 21 0 05 Feb 2022
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework N. Tomashenko Salima Mdhaffar Marc Tommasi Yannick Esteve J. Bonastre 35 25 0 06 Nov 2021
Enabling On-Device Training of Speech Recognition Models with Federated Dropout Dhruv Guliani Lillian Zhou Changwan Ryu Tien-Ju Yang Harry Zhang Yong Xiao F. Beaufays Giovanni Motta FedML 33 16 0 07 Oct 2021
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
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 187 412 0 14 Jul 2021
Zero-Shot Federated Learning with New Classes for Audio Classification Gautham Krishna Gudur S. K. Perepu FedML 15 10 0 18 Jun 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 28 43 0 29 Apr 2021
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning Zachary B. Charles Jakub Konecný FedML 26 63 0 08 Mar 2021
Federated Composite Optimization Honglin Yuan Manzil Zaheer Sashank J. Reddi FedML 32 58 0 17 Nov 2020