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MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID
  distribution

MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution

24 June 2022
Akash Amalan
Rui Wang
Yan Qiao
E. Panaousis
K. Liang
    FedMLOOD
ArXiv (abs)PDFHTML

Papers citing "MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution"

13 / 13 papers shown
Title
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
127
1
0
11 Mar 2025
PerFED-GAN: Personalized Federated Learning via Generative Adversarial
  Networks
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao
Gang Sun
Hongfang Yu
Mohsen Guizani
FedML
62
58
0
18 Feb 2022
Decentralized Federated Averaging
Decentralized Federated Averaging
Tao Sun
Dongsheng Li
Bao Wang
FedML
70
216
0
23 Apr 2021
Differentiable Augmentation for Data-Efficient GAN Training
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao
Zhijian Liu
Ji Lin
Jun-Yan Zhu
Song Han
94
608
0
18 Jun 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially
  Private Generators
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Dingfan Chen
Tribhuvanesh Orekondy
Mario Fritz
SyDa
56
185
0
15 Jun 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions,
  and Future Directions
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions
Divya Saxena
Jiannong Cao
AAMLAI4CE
118
299
0
30 Apr 2020
MD-GAN: Multi-Discriminator Generative Adversarial Networks for
  Distributed Datasets
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
112
181
0
09 Nov 2018
Differentially Private Generative Adversarial Network
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
95
501
0
19 Feb 2018
Ray: A Distributed Framework for Emerging AI Applications
Ray: A Distributed Framework for Emerging AI Applications
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
...
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
GNN
110
1,268
0
16 Dec 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
131
1,410
0
24 Feb 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
312
4,657
0
18 Oct 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
486
9,073
0
10 Jun 2016
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
273
14,027
0
19 Nov 2015
1