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Client Adaptation improves Federated Learning with Simulated Non-IID
  Clients

Client Adaptation improves Federated Learning with Simulated Non-IID Clients

9 July 2020
Laura Rieger
Rasmus M. Th. Høegh
Lars Kai Hansen
    FedML
ArXiv (abs)PDFHTML

Papers citing "Client Adaptation improves Federated Learning with Simulated Non-IID Clients"

15 / 15 papers shown
Title
Federated Adversarial Domain Adaptation
Federated Adversarial Domain Adaptation
Xingchao Peng
Zijun Huang
Yizhe Zhu
Kate Saenko
FedML
68
271
0
05 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance
  Analysis
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei
Jun Li
Ming Ding
Chuan Ma
Heng Yang
Farokhi Farhad
Shi Jin
Tony Q.S. Quek
H. Vincent Poor
FedML
125
1,616
0
01 Nov 2019
On the Convergence of FedAvg on Non-IID Data
On the Convergence of FedAvg on Non-IID Data
Xiang Li
Kaixuan Huang
Wenhao Yang
Shusen Wang
Zhihua Zhang
FedML
145
2,334
0
04 Jul 2019
Robust Federated Learning in a Heterogeneous Environment
Robust Federated Learning in a Heterogeneous Environment
Avishek Ghosh
Justin Hong
Dong Yin
Kannan Ramchandran
OODFedML
58
217
0
16 Jun 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data
Robust and Communication-Efficient Federated Learning from Non-IID Data
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
FedML
74
1,358
0
07 Mar 2019
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task
  Description, Dataset, and Baseline
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
Eduardo Fonseca
Manoj Plakal
F. Font
D. Ellis
Xavier Favory
Jordi Pons
Xavier Serra
88
148
0
26 Jul 2018
How To Backdoor Federated Learning
How To Backdoor Federated Learning
Eugene Bagdasaryan
Andreas Veit
Yiqing Hua
D. Estrin
Vitaly Shmatikov
SILMFedML
97
1,913
0
02 Jul 2018
Federated Learning with Non-IID Data
Federated Learning with Non-IID Data
Yue Zhao
Meng Li
Liangzhen Lai
Naveen Suda
Damon Civin
Vikas Chandra
FedML
160
2,569
0
02 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,858
0
17 Apr 2017
Federated Learning: Strategies for Improving Communication Efficiency
Federated Learning: Strategies for Improving Communication Efficiency
Jakub Konecný
H. B. McMahan
Felix X. Yu
Peter Richtárik
A. Suresh
Dave Bacon
FedML
306
4,646
0
18 Oct 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
406
7,399
0
12 Sep 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
209
2,513
0
16 Jun 2016
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
406
17,486
0
17 Feb 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,373
0
02 Dec 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
181
1,771
0
03 May 2015
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