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FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
v1v2 (latest)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition

International Joint Conference on Artificial Intelligence (IJCAI), 2024
30 August 2024
Chen Hu
Hanchi Ren
Jingjing Deng
Xianghua Xie
Xiaoke Ma
    FedML
ArXiv (abs)PDFHTML

Papers citing "FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition"

26 / 26 papers shown
Title
Nepotistically Trained Generative-AI Models Collapse
Nepotistically Trained Generative-AI Models Collapse
Matyáš Boháček
Hany Farid
241
27
0
20 Nov 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
2.6K
17,255
0
27 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationNeural Information Processing Systems (NeurIPS), 2023
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
161
42
0
16 Feb 2023
DPD-fVAE: Synthetic Data Generation Using Federated Variational
  Autoencoders With Differentially-Private Decoder
DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder
Bjarne Pfitzner
B. Arnrich
FedML
225
20
0
21 Nov 2022
AudioLM: a Language Modeling Approach to Audio Generation
AudioLM: a Language Modeling Approach to Audio GenerationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Zalan Borsos
Raphaël Marinier
Damien Vincent
Eugene Kharitonov
Olivier Pietquin
...
Dominik Roblek
O. Teboul
David Grangier
Marco Tagliasacchi
Neil Zeghidour
AuLLM
344
793
0
07 Sep 2022
Federated Learning in Non-IID Settings Aided by Differentially Private
  Synthetic Data
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
Huancheng Chen
H. Vikalo
FedML
175
18
0
01 Jun 2022
Generative Adversarial Networks
Generative Adversarial NetworksInternational Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Gilad Cohen
Raja Giryes
GAN
745
30,270
0
01 Mar 2022
Denoising Diffusion Probabilistic Models
Denoising Diffusion Probabilistic Models
Jonathan Ho
Ajay Jain
Pieter Abbeel
DiffM
4.2K
24,966
0
19 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data
FedGAN: Federated Generative Adversarial Networks for Distributed Data
M. Rasouli
Tao Sun
Ram Rajagopal
FedML
188
164
0
12 Jun 2020
Training Generative Adversarial Networks with Limited Data
Training Generative Adversarial Networks with Limited DataNeural Information Processing Systems (NeurIPS), 2020
Tero Karras
M. Aittala
Janne Hellsten
S. Laine
J. Lehtinen
Timo Aila
GAN
492
2,091
0
11 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
1.4K
19,430
0
17 Feb 2020
Decentralized Learning of Generative Adversarial Networks from Non-iid
  Data
Decentralized Learning of Generative Adversarial Networks from Non-iid Data
Ryo Yonetani
Tomohiro Takahashi
Atsushi Hashimoto
Yoshitaka Ushiku
171
26
0
23 May 2019
MD-GAN: Multi-Discriminator Generative Adversarial Networks for
  Distributed Datasets
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed DatasetsIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2018
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
217
207
0
09 Nov 2018
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and VariationInternational Conference on Learning Representations (ICLR), 2017
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
642
8,071
0
27 Oct 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
484
2,271
0
31 Aug 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
662
9,895
0
25 Aug 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
404
1,750
0
03 Jul 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other ModificationsInternational Conference on Learning Representations (ICLR), 2017
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
308
990
0
19 Jan 2017
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
1.1K
11,561
0
15 Sep 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDLDRL
433
1,928
0
15 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
1.3K
9,759
0
10 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
1.3K
21,083
0
17 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
412
960
0
06 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
1.7K
29,589
0
02 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
644
14,731
0
19 Nov 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision (IJCV), 2014
Olga Russakovsky
Gaowen Liu
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
2.8K
41,364
0
01 Sep 2014
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