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Federated Learning for Keyword Spotting

Federated Learning for Keyword Spotting

9 October 2018
David Leroy
A. Coucke
Thibaut Lavril
Thibault Gisselbrecht
Joseph Dureau
    FedML
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Papers citing "Federated Learning for Keyword Spotting"

50 / 126 papers shown
Title
Impact of Sampling on Locally Differentially Private Data Collection
Impact of Sampling on Locally Differentially Private Data Collection
Sayan Biswas
Graham Cormode
Carsten Maple
FedML
27
0
0
02 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
28
398
0
01 Jun 2022
Training Mixed-Domain Translation Models via Federated Learning
Training Mixed-Domain Translation Models via Federated Learning
Peyman Passban
Tanya Roosta
Rahul Gupta
Ankit R. Chadha
Clement Chung
FedML
AI4CE
29
18
0
03 May 2022
Production federated keyword spotting via distillation, filtering, and
  joint federated-centralized training
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
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
24
88
0
11 Apr 2022
Federated Self-supervised Speech Representations: Are We There Yet?
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
Federated Domain Adaptation for ASR with Full Self-Supervision
J. Jia
Jay Mahadeokar
Weiyi Zheng
Yuan Shangguan
Ozlem Kalinli
Frank Seide
32
13
0
30 Mar 2022
Federated Named Entity Recognition
Federated Named Entity Recognition
Joel Mathew
Dimitris Stripelis
J. Ambite
FedML
22
1
0
28 Mar 2022
When BERT Meets Quantum Temporal Convolution Learning for Text
  Classification in Heterogeneous Computing
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
Chao-Han Huck Yang
Jun Qi
Samuel Yen-Chi Chen
Yu Tsao
Pin-Yu Chen
22
53
0
17 Feb 2022
A Study of Designing Compact Audio-Visual Wake Word Spotting System
  Based on Iterative Fine-Tuning in Neural Network Pruning
A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning
Hengshun Zhou
Jun Du
Chao-Han Huck Yang
Shifu Xiong
Chin-Hui Lee
VLM
18
3
0
17 Feb 2022
Privacy-preserving Speech Emotion Recognition through Semi-Supervised
  Federated Learning
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning
Vasileios Tsouvalas
T. Ozcelebi
N. Meratnia
34
21
0
05 Feb 2022
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive
  Survey
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Shangwei Guo
Xu Zhang
Feiyu Yang
Tianwei Zhang
Yan Gan
Tao Xiang
Yang Liu
FedML
31
9
0
19 Dec 2021
A Marketplace for Trading AI Models based on Blockchain and Incentives
  for IoT Data
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data
L. Nguyen
Shashi Raj Pandey
B. Soret
A. Broering
P. Popovski
42
20
0
06 Dec 2021
An Optimization Framework for Federated Edge Learning
An Optimization Framework for Federated Edge Learning
Yangchen Li
Ying Cui
Vincent K. N. Lau
FedML
11
7
0
26 Nov 2021
Deep Spoken Keyword Spotting: An Overview
Deep Spoken Keyword Spotting: An Overview
Iván López-Espejo
Zheng-Hua Tan
John H. L. Hansen
Jesper Jensen
21
100
0
20 Nov 2021
Retrieving Speaker Information from Personalized Acoustic Models for
  Speech Recognition
Retrieving Speaker Information from Personalized Acoustic Models for Speech Recognition
Salima Mdhaffar
J. Bonastre
Marc Tommasi
N. Tomashenko
Yannick Esteve
17
12
0
07 Nov 2021
Privacy attacks for automatic speech recognition acoustic models in a
  federated learning framework
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
FedMe: Federated Learning via Model Exchange
FedMe: Federated Learning via Model Exchange
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
FedML
45
19
0
15 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data:
  Formulation and Analysis
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Yi Liu
Yuanshao Zhu
James J. Q. Yu
FedML
27
28
0
14 Oct 2021
FedSpeech: Federated Text-to-Speech with Continual Learning
FedSpeech: Federated Text-to-Speech with Continual Learning
Ziyue Jiang
Yi Ren
Ming Lei
Zhou Zhao
FedML
101
24
0
14 Oct 2021
Layer-wise and Dimension-wise Locally Adaptive Federated Learning
Layer-wise and Dimension-wise Locally Adaptive Federated Learning
Belhal Karimi
Ping Li
Xiaoyun Li
FedML
42
3
0
01 Oct 2021
Federated Learning in ASR: Not as Easy as You Think
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
Private Language Model Adaptation for Speech Recognition
Private Language Model Adaptation for Speech Recognition
Zhe Liu
Ke Li
Shreyan Bakshi
Fuchun Peng
34
6
0
28 Sep 2021
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning
  Framework
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework
Dengsheng Chen
Vince Tan
Zhi-Wei Lu
Jie Hu
FedML
19
27
0
16 Sep 2021
The VoicePrivacy 2020 Challenge: Results and findings
The VoicePrivacy 2020 Challenge: Results and findings
N. Tomashenko
Xin Wang
Emmanuel Vincent
J. Patino
B. M. L. Srivastava
...
Benjamin O’Brien
Anais Chanclu
J. Bonastre
Massimiliano Todisco
Mohamed Maouche
27
105
0
01 Sep 2021
Accelerating Federated Learning with a Global Biased Optimiser
Accelerating Federated Learning with a Global Biased Optimiser
Jed Mills
Jia Hu
Geyong Min
Rui Jin
Siwei Zheng
Jin Wang
FedML
AI4CE
34
9
0
20 Aug 2021
Federated Learning Meets Natural Language Processing: A Survey
Federated Learning Meets Natural Language Processing: A Survey
Ming Liu
Stella Ho
Mengqi Wang
Longxiang Gao
Yuan Jin
Heng Zhang
FedML
25
67
0
27 Jul 2021
Federated Self-Training for Semi-Supervised Audio Recognition
Federated Self-Training for Semi-Supervised Audio Recognition
Vasileios Tsouvalas
Aaqib Saeed
T. Ozcelebi
FedML
42
15
0
14 Jul 2021
Zero-Shot Federated Learning with New Classes for Audio Classification
Zero-Shot Federated Learning with New Classes for Audio Classification
Gautham Krishna Gudur
S. K. Perepu
FedML
13
10
0
18 Jun 2021
Dynamic Gradient Aggregation for Federated Domain Adaptation
Dynamic Gradient Aggregation for Federated Domain Adaptation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
26
5
0
14 Jun 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
27
46
0
17 May 2021
Separate but Together: Unsupervised Federated Learning for Speech
  Enhancement from Non-IID Data
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data
Efthymios Tzinis
Jonah Casebeer
Zhepei Wang
Paris Smaragdis
FedML
32
19
0
11 May 2021
End-to-End Speech Recognition from Federated Acoustic Models
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
A Survey on Federated Learning and its Applications for Accelerating
  Industrial Internet of Things
A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Things
Jiehan Zhou
Shouhua Zhang
Qinghua Lu
W. Dai
Min Chen
Xin Liu
Susanna Pirttikangas
Yang Shi
Weishan Zhang
E. Herrera-Viedma
FedML
AI4CE
23
44
0
21 Apr 2021
FedNLP: Benchmarking Federated Learning Methods for Natural Language
  Processing Tasks
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks
Bill Yuchen Lin
Chaoyang He
ZiHang Zeng
Hulin Wang
Yufen Huang
Christophe Dupuy
Rahul Gupta
Mahdi Soltanolkotabi
Xiang Ren
Salman Avestimehr
FedML
19
108
0
18 Apr 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How
  to Counter It
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
Trung D. Q. Dang
Om Thakkar
Swaroop Indra Ramaswamy
Rajiv Mathews
Peter Chin
Franccoise Beaufays
FedML
32
10
0
15 Apr 2021
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation
  of Teacher Ensembles for Spoken Command Classification
PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Chin-Hui Lee
59
22
0
02 Apr 2021
Opportunistic Federated Learning: An Exploration of Egocentric
  Collaboration for Pervasive Computing Applications
Opportunistic Federated Learning: An Exploration of Egocentric Collaboration for Pervasive Computing Applications
Sangsu Lee
Xi Zheng
Jie Hua
H. Vikalo
Christine Julien
FedML
29
25
0
24 Mar 2021
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event
  Detection
DESED-FL and URBAN-FL: Federated Learning Datasets for Sound Event Detection
David S. Johnson
Wolfgang Lorenz
Michael Taenzer
S. I. Mimilakis
S. Grollmisch
J. Abeßer
Hanna M. Lukashevich
FedML
29
13
0
17 Feb 2021
Federated Acoustic Modeling For Automatic Speech Recognition
Federated Acoustic Modeling For Automatic Speech Recognition
Xiaodong Cui
Songtao Lu
Brian Kingsbury
24
33
0
08 Feb 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated
  Learning
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning
Tomoya Murata
Taiji Suzuki
FedML
27
50
0
05 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling
FedProf: Selective Federated Learning with Representation Profiling
Wentai Wu
Ligang He
Weiwei Lin
Carsten Maple
FedML
30
1
0
02 Feb 2021
FEDZIP: A Compression Framework for Communication-Efficient Federated
  Learning
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
Amirhossein Malekijoo
Mohammad Javad Fadaeieslam
Hanieh Malekijou
Morteza Homayounfar
F. Alizadeh-Shabdiz
Reza Rawassizadeh
FedML
34
54
0
02 Feb 2021
Understanding the Tradeoffs in Client-side Privacy for Downstream Speech
  Tasks
Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks
Peter Wu
Paul Pu Liang
Jiatong Shi
Ruslan Salakhutdinov
Shinji Watanabe
Louis-Philippe Morency
26
8
0
22 Jan 2021
FedAR: Activity and Resource-Aware Federated Learning Model for
  Distributed Mobile Robots
FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots
Ahmed Imteaj
M. Amini
83
51
0
11 Jan 2021
Achieving Security and Privacy in Federated Learning Systems: Survey,
  Research Challenges and Future Directions
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
Alberto Blanco-Justicia
J. Domingo-Ferrer
Sergio Martínez
David Sánchez
Adrian Flanagan
K. E. Tan
FedML
26
110
0
12 Dec 2020
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
FedSiam: Towards Adaptive Federated Semi-Supervised Learning
Zewei Long
Liwei Che
Yaqing Wang
Muchao Ye
Junyu Luo
Jinze Wu
Houping Xiao
Fenglong Ma
FedML
31
16
0
06 Dec 2020
Federated Marginal Personalization for ASR Rescoring
Federated Marginal Personalization for ASR Rescoring
Zhe Liu
Fuchun Peng
24
1
0
01 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model
  Quality Perspective
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective
Yi Liu
Li Zhang
Ning Ge
Guanghao Li
FedML
33
22
0
01 Dec 2020
An Exploratory Analysis on Users' Contributions in Federated Learning
An Exploratory Analysis on Users' Contributions in Federated Learning
Jiyue Huang
Rania Talbi
Zilong Zhao
S. Bouchenak
L. Chen
Stefanie Roos
FedML
26
30
0
13 Nov 2020
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