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2006.07228
Cited By
FedGAN: Federated Generative Adversarial Networks for Distributed Data
12 June 2020
M. Rasouli
Tao Sun
Ram Rajagopal
FedML
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Papers citing
"FedGAN: Federated Generative Adversarial Networks for Distributed Data"
50 / 77 papers shown
Title
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models
Kyeongkook Seo
Dong-Jun Han
Jaejun Yoo
42
0
0
11 Mar 2025
Federated Learning for Diffusion Models
Zihao Peng
Xijun Wang
Shengbo Chen
Hong Rao
Cong Shen
DiffM
FedML
53
0
0
09 Mar 2025
Subgraph Federated Learning for Local Generalization
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedML
OOD
86
1
0
06 Mar 2025
Asynchronous Personalized Federated Learning through Global Memorization
Fan Wan
Y. Li
Xueqi Qiu
Rui Sun
L. Zhang
Xingyu Miao
Tianyu Zhang
Haoran Duan
Yang Long
34
0
0
01 Mar 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
172
0
0
10 Feb 2025
Nested Annealed Training Scheme for Generative Adversarial Networks
Chang Wan
Ming-Hsuan Yang
Minglu Li
Yunliang Jiang
Zhonglong Zheng
GAN
38
0
0
20 Jan 2025
AFed: Algorithmic Fair Federated Learning
Huiqiang Chen
Tianqing Zhu
Wanlei Zhou
Wei Zhao
FedML
29
0
0
06 Jan 2025
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning
Minjun Kim
Minjee Kim
Jinhoon Jeong
FedML
MedIm
OOD
64
0
0
16 Dec 2024
Federated Time Series Generation on Feature and Temporally Misaligned Data
Chenrui Fan
Zhi Wen Soi
Aditya Shankar
Abele Malan
Lydia Y. Chen
FedML
AI4TS
31
0
0
28 Oct 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
B. Das
M. H. Amini
Yanzhao Wu
29
0
0
27 Sep 2024
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning
Chia-Yuan Wu
Frank E. Curtis
Daniel P. Robinson
DD
38
0
0
14 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang
Jin Zhong
Hanlin Gu
Zhongqi Lu
Xingxing Tang
Gang Dai
Shuangping Huang
Lixin Fan
Qiang Yang
DiffM
44
7
0
02 Sep 2024
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
Chen Hu
Hanchi Ren
Jingjing Deng
Xianghua Xie
Xiaoke Ma
FedML
63
0
0
30 Aug 2024
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
Eugenio Lomurno
Matteo Matteucci
41
2
0
30 Jul 2024
Privacy-Preserving Adaptive Re-Identification without Image Transfer
Hamza Rami
Jhony H. Giraldo
Nicolas Winckler
Stéphane Lathuilière
24
0
0
17 Jul 2024
Training Diffusion Models with Federated Learning
Matthijs de Goede
Bart Cox
Jérémie Decouchant
FedML
49
8
0
18 Jun 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
Jianhao Zhu
Changze Lv
Xiaohua Wang
Muling Wu
Wenhao Liu
Tianlong Li
Zixuan Ling
Cenyuan Zhang
Xiaoqing Zheng
Xuanjing Huang
38
3
0
16 Jun 2024
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary
Emiliano De Cristofaro
AI4CE
38
2
0
26 May 2024
Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning
Pranav Kulkarni
Adway U. Kanhere
Harshita Kukreja
Vivian Zhang
P. Yi
Vishwa S. Parekh
MedIm
AI4CE
29
0
0
10 Apr 2024
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation
A. Chebykin
Peter A. N. Bosman
T. Alderliesten
MedIm
27
0
0
09 Apr 2024
Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data
Okko Makkonen
Sampo Niemelä
Camilla Hollanti
Serge Kas Hanna
35
0
0
04 Apr 2024
Exploiting Label Skews in Federated Learning with Model Concatenation
Yiqun Diao
Q. Li
Bingsheng He
FedML
22
16
0
11 Dec 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective
Xianghua Xie
Chen Hu
Hanchi Ren
Jingjing Deng
FedML
AAML
40
19
0
27 Nov 2023
On the Distributed Evaluation of Generative Models
Zixiao Wang
Farzan Farnia
Zhenghao Lin
Yunheng Shen
Bei Yu
EGVM
FedML
16
2
0
18 Oct 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Xidong Wu
Jianhui Sun
Zhengmian Hu
Aidong Zhang
Heng-Chiao Huang
FedML
97
12
0
05 Oct 2023
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting
Samuel Maddock
Graham Cormode
Carsten Maple
29
4
0
05 Oct 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
33
9
0
10 Jul 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh
Mingchen Li
Pranay Sharma
Samet Oymak
24
0
0
02 Jun 2023
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
Weizhao Jin
Yuhang Yao
Shanshan Han
Jiajun Gu
Carlee Joe-Wong
Srivatsan Ravi
A. Avestimehr
Chaoyang He
FedML
13
49
0
20 Mar 2023
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Yingguang Yang
Renyu Yang
Hao Peng
Yangyang Li
Tong Li
Yong Liao
Pengyuan Zhou
FedML
45
28
0
10 Mar 2023
Better Generative Replay for Continual Federated Learning
Daiqing Qi
Handong Zhao
Sheng R. Li
FedML
19
46
0
25 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification
Yujin Han
Leying Guan
FedML
30
0
0
04 Feb 2023
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
Yong Xiao
Rong Xia
Yingyu Li
Guangming Shi
Diep N. Nguyen
D. Hoang
Dusit Niyato
Marwan Krunz
21
12
0
01 Feb 2023
ApproxED: Approximate exploitability descent via learned best responses
Carlos Martin
T. Sandholm
24
0
0
20 Jan 2023
Modeling Global Distribution for Federated Learning with Label Distribution Skew
Tao Sheng
Cheng Shen
Yuan Liu
Yeyu Ou
Zhe Qu
Jianxin Wang
FedML
27
7
0
17 Dec 2022
PaDPaF: Partial Disentanglement with Partially-Federated GANs
Abdulla Jasem Almansoori
Samuel Horváth
Martin Takáč
FedML
18
0
0
07 Dec 2022
Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries
N. Veeraragavan
J. Nygaard
11
2
0
03 Dec 2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning
Zirui Wang
Shaoming Duan
Chengyue Wu
Wenhao Lin
Xin-Xiang Zha
Peiyi Han
Chuanyi Liu
MedIm
19
4
0
02 Dec 2022
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis
Ruinan Jin
Xiaoxiao Li
FedML
AAML
MedIm
38
23
0
19 Oct 2022
SAGDA: Achieving
O
(
ε
−
2
)
\mathcal{O}(ε^{-2})
O
(
ε
−
2
)
Communication Complexity in Federated Min-Max Learning
Haibo Yang
Zhuqing Liu
Xin Zhang
Jia-Wei Liu
FedML
30
0
0
02 Oct 2022
Training Normalizing Flows from Dependent Data
Matthias Kirchler
C. Lippert
Marius Kloft
TPM
18
2
0
29 Sep 2022
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis
Onat Dalmaz
Muhammad Usama Mirza
Gokberk Elmas
Muzaffer Özbey
S. Dar
Emir Ceyani
Salman Avestimehr
Tolga cCukur
MedIm
28
39
0
13 Jul 2022
Federated Split GANs
P. Kortoçi
Yilei Liang
Pengyuan Zhou
Lik-Hang Lee
Abbas Mehrabi
Pan Hui
Sasu Tarkoma
Jon Crowcroft
FedML
24
7
0
04 Jul 2022
Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis
Ruinan Jin
Xiaoxiao Li
AAML
FedML
MedIm
31
12
0
02 Jul 2022
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks
Ignjat Pejic
Rui Wang
K. Liang
BDL
FedML
17
2
0
01 Jul 2022
EFFGAN: Ensembles of fine-tuned federated GANs
Ebba Ekblom
Edvin Listo Zec
Olof Mogren
FedML
26
8
0
23 Jun 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
Zhenyu Sun
Ermin Wei
FedML
17
14
0
02 Jun 2022
Federated Learning in Non-IID Settings Aided by Differentially Private Synthetic Data
Huancheng Chen
H. Vikalo
FedML
6
13
0
01 Jun 2022
FedHarmony: Unlearning Scanner Bias with Distributed Data
Nicola K. Dinsdale
M. Jenkinson
Ana I. L. Namburete
FedML
9
15
0
31 May 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization
Davoud Ataee Tarzanagh
Mingchen Li
Christos Thrampoulidis
Samet Oymak
FedML
40
73
0
04 May 2022
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