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2008.02452
Cited By
Federated Transfer Learning with Dynamic Gradient Aggregation
6 August 2020
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
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Papers citing
"Federated Transfer Learning with Dynamic Gradient Aggregation"
31 / 31 papers shown
PersA-FL: Personalized Asynchronous Federated Learning
Optimization Methods and Software (OMS), 2022
Taha Toghani
Soomin Lee
César A. Uribe
FedML
401
8
0
03 Oct 2022
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Youlong Ding
Xueyang Wu
Zhitao Li
Zeheng Wu
S. Tan
Qian Xu
Weike Pan
Qiang Yang
FedML
187
7
0
21 Jun 2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
Mirian Hipolito Garcia
Andre Manoel
Daniel Madrigal Diaz
Fatemehsadat Mireshghallah
Robert Sim
Dimitrios Dimitriadis
FedML
314
66
0
25 Mar 2022
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai
Fanlin Meng
FedML
OnRL
251
33
0
07 Feb 2022
An Efficient Federated Distillation Learning System for Multi-task Time Series Classification
IEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2021
Huanlai Xing
Zhiwen Xiao
R. Qu
Zonghai Zhu
Bowen Zhao
FedML
268
126
0
30 Dec 2021
Sequence-level self-learning with multiple hypotheses
K. Kumatani
Dimitrios Dimitriadis
Yashesh Gaur
R. Gmyr
Sefik Emre Eskimez
Jinyu Li
Michael Zeng
SSL
261
1
0
10 Dec 2021
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
N. Tomashenko
Salima Mdhaffar
Marc Tommasi
Yannick Esteve
J. Bonastre
288
27
0
06 Nov 2021
Dynamic Gradient Aggregation for Federated Domain Adaptation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
249
5
0
14 Jun 2021
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Dhruv Guliani
F. Beaufays
Giovanni Motta
FedML
221
89
0
29 Oct 2020
Federated Transfer Learning: concept and applications
Intelligenza Artificiale (IA), 2020
Sudipan Saha
Tahir Ahmad
FedML
332
133
0
26 Sep 2020
Asynchronous Decentralized Learning of a Neural Network
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Xinyue Liang
Alireza M. Javid
Mikael Skoglund
Saikat Chatterjee
225
8
0
10 Apr 2020
Adaptive Federated Optimization
International Conference on Learning Representations (ICLR), 2020
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
791
1,887
0
29 Feb 2020
Speech Recognition with Augmented Synthesized Speech
Automatic Speech Recognition & Understanding (ASRU), 2019
Andrew Rosenberg
Yu Zhang
Bhuvana Ramabhadran
Ye Jia
Pedro J. Moreno
Yonghui Wu
Zelin Wu
208
145
0
25 Sep 2019
Federated Learning: Challenges, Methods, and Future Directions
IEEE Signal Processing Magazine (IEEE SPM), 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
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0
21 Aug 2019
Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning
Ladislav Mošner
Minhua Wu
A. Raju
S. Parthasarathi
K. Kumatani
Shiva Sundaram
Roland Maas
Björn Hoffmeister
259
53
0
05 Jan 2019
Re-evaluating Continual Learning Scenarios: A Categorization and Case for Strong Baselines
Yen-Chang Hsu
Yen-Cheng Liu
Anita Ramasamy
Z. Kira
CLL
ELM
461
389
0
30 Oct 2018
Federated Learning for Keyword Spotting
David Leroy
A. Coucke
Thibaut Lavril
Thibault Gisselbrecht
Joseph Dureau
FedML
465
311
0
09 Oct 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
ACM Computing Surveys (CSUR), 2018
Tal Ben-Nun
Torsten Hoefler
GNN
451
778
0
26 Feb 2018
Continual Lifelong Learning with Neural Networks: A Review
G. I. Parisi
Ronald Kemker
Jose L. Part
Christopher Kanan
S. Wermter
KELM
CLL
812
3,369
1
21 Feb 2018
State-of-the-art Speech Recognition With Sequence-to-Sequence Models
Chung-Cheng Chiu
Tara N. Sainath
Yonghui Wu
Rohit Prabhavalkar
Patrick Nguyen
...
Katya Gonina
Navdeep Jaitly
Yue Liu
J. Chorowski
M. Bacchiani
AI4TS
808
1,183
0
05 Dec 2017
Online Deep Learning: Learning Deep Neural Networks on the Fly
Doyen Sahoo
Quang Pham
Jing Lu
Guosheng Lin
OnRL
AI4CE
366
351
0
10 Nov 2017
Large-Scale Domain Adaptation via Teacher-Student Learning
Jinyu Li
M. Seltzer
Xi Wang
Rui Zhao
Jiawei Liu
246
141
0
17 Aug 2017
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
977
12,209
0
21 Jul 2016
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
1.2K
19,427
0
27 May 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
1.8K
23,514
0
17 Feb 2016
Variance Reduction in SGD by Distributed Importance Sampling
Guillaume Alain
Alex Lamb
Chinnadhurai Sankar
Aaron Courville
Yoshua Bengio
FedML
615
218
0
20 Nov 2015
Federated Optimization:Distributed Optimization Beyond the Datacenter
Jakub Konecný
H. B. McMahan
Daniel Ramage
FedML
437
815
0
11 Nov 2015
Online Learning to Sample
Guillaume Bouchard
Théo Trouillon
J. Perez
Adrien Gaidon
OffRL
OnRL
226
31
0
30 Jun 2015
Attention-Based Models for Speech Recognition
J. Chorowski
Dzmitry Bahdanau
Dmitriy Serdyuk
Dong Wang
Yoshua Bengio
501
2,738
0
24 Jun 2015
Communication Efficient Distributed Optimization using an Approximate Newton-type Method
International Conference on Machine Learning (ICML), 2013
Ohad Shamir
Nathan Srebro
Tong Zhang
524
592
0
30 Dec 2013
Sequence Transduction with Recurrent Neural Networks
Alex Graves
1.0K
2,057
0
14 Nov 2012
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