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A Distributed Approach to Meteorological Predictions: Addressing Data
  Imbalance in Precipitation Prediction Models through Federated Learning and
  GANs

A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs

19 October 2023
Elaheh Jafarigol
Theodore Trafalis
ArXivPDFHTML

Papers citing "A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs"

22 / 22 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
225
30,089
0
01 Mar 2022
An Experimental Study of Class Imbalance in Federated Learning
An Experimental Study of Class Imbalance in Federated Learning
Chenguang Xiao
S. Wang
FedML
37
8
0
09 Sep 2021
SMOTified-GAN for class imbalanced pattern classification problems
SMOTified-GAN for class imbalanced pattern classification problems
Anuraganand Sharma
P. K. Singh
Rohitash Chandra
45
76
0
06 Aug 2021
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data
Damien Dablain
Bartosz Krawczyk
Nitesh Chawla
59
270
0
05 May 2021
Federated learning with class imbalance reduction
Federated learning with class imbalance reduction
Miao Yang
Akitanoshou Wong
Hongbin Zhu
Haifeng Wang
H. Qian
FedML
47
125
0
23 Nov 2020
Enhanced Balancing GAN: Minority-class Image Generation
Enhanced Balancing GAN: Minority-class Image Generation
Gaofeng Huang
Amir Jafari
GAN
29
71
0
31 Oct 2020
Conditional Wasserstein GAN-based Oversampling of Tabular Data for
  Imbalanced Learning
Conditional Wasserstein GAN-based Oversampling of Tabular Data for Imbalanced Learning
Justin Engelmann
Stefan Lessmann
38
231
0
20 Aug 2020
Imbalanced Data Learning by Minority Class Augmentation using Capsule
  Adversarial Networks
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks
Pourya Shamsolmoali
Masoumeh Zareapoor
Linlin Shen
A. Sadka
Jie Yang
GAN
MedIm
42
65
0
05 Apr 2020
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CML
MU
SyDa
GAN
100
1,246
0
01 Jul 2019
Generative Adversarial Minority Oversampling
Generative Adversarial Minority Oversampling
S. S. Mullick
Shounak Datta
Swagatam Das
66
176
0
22 Mar 2019
Deep Learning for Imbalance Data Classification using Class Expert
  Generative Adversarial Network
Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network
Fanny
T. W. Cenggoro
GAN
21
49
0
12 Jul 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
73
1,464
0
13 Jan 2018
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
171
9,533
0
31 Mar 2017
StackGAN: Text to Photo-realistic Image Synthesis with Stacked
  Generative Adversarial Networks
StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
Han Zhang
Tao Xu
Hongsheng Li
Shaoting Zhang
Xiaogang Wang
Xiaolei Huang
Dimitris N. Metaxas
GAN
104
2,720
0
10 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
308
19,612
0
21 Nov 2016
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced
  Datasets in Machine Learning
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
G. Lemaître
Fernando Nogueira
Christos K. Aridas
68
2,056
0
21 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
240
10,674
0
15 Sep 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
189
6,109
0
01 Jul 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
380
17,437
0
17 Feb 2016
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
238
10,394
0
06 Nov 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
222
16,336
0
30 Apr 2014
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
331
25,569
0
09 Jun 2011
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