MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets

9 November 2018

Erwan Le Merrer

Papers citing "MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets"

50 / 68 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
Rebalancing the Scales: A Systematic Mapping Study of Generative Adversarial Networks (GANs) in Addressing Data Imbalance Pankaj Yadav Gulshan Sihag Vivek Vijay AI4CE 34 0 0 23 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 169 0 0 10 Feb 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
ParaGAN: A Scalable Distributed Training Framework for Generative Adversarial Networks Ziji Shi Jialin Li Yang You 26 1 0 06 Nov 2024
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks Nirob Arefin AI4CE 21 0 0 10 Oct 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 20 0 0 19 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
CollaFuse: Collaborative Diffusion Models Simeon Allmendinger Domenique Zipperling Lukas Struppek Niklas Kühl 26 2 0 20 Jun 2024
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver Daniel Lersch Malachi Schram Zhenyu Dai Kishansingh Rajput Xingfu Wu Nobuo Sato J. T. Childers 27 0 0 11 Jun 2024
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI Domenique Zipperling Simeon Allmendinger Lukas Struppek Niklas Kühl 34 0 0 29 Feb 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 27 0 0 08 Feb 2024
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters Mohamed Younes Ewa Kijak R. Kulpa Simon Malinowski Franck Multon AI4CE 32 2 0 04 Nov 2023
On the Distributed Evaluation of Generative Models Zixiao Wang Farzan Farnia Zhenghao Lin Yunheng Shen Bei Yu EGVM FedML 13 2 0 18 Oct 2023
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting Samuel Maddock Graham Cormode Carsten Maple 29 4 0 05 Oct 2023
Distributed Conditional GAN (discGAN) For Synthetic Healthcare Data Generation David T. Fuentes Diana McSpadden Sodiq Adewole CML MedIm 19 1 0 09 Apr 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 30 0 0 04 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 22 7 0 17 Dec 2022
Generating Synthetic Data in a Secure Federated General Adversarial Networks for a Consortium of Health Registries N. Veeraragavan J. Nygaard 6 2 0 03 Dec 2022
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning Xin Yang Omid Ardakanian 22 3 0 24 Sep 2022
Federated Split GANs P. Kortoçi Yilei Liang Pengyuan Zhou Lik-Hang Lee Abbas Mehrabi Pan Hui Sasu Tarkoma Jon Crowcroft FedML 22 7 0 04 Jul 2022
MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution Akash Amalan Rui Wang Yan Qiao E. Panaousis K. Liang FedML OOD 15 2 0 24 Jun 2022
EFFGAN: Ensembles of fine-tuned federated GANs Ebba Ekblom Edvin Listo Zec Olof Mogren FedML 23 8 0 23 Jun 2022
Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation Akash S. Doshi Manan Gupta J. Andrews 24 22 0 25 May 2022
Training Mixed-Domain Translation Models via Federated Learning Peyman Passban Tanya Roosta Rahul Gupta Ankit R. Chadha Clement Chung FedML AI4CE 21 18 0 03 May 2022
FedSyn: Synthetic Data Generation using Federated Learning Monik R Behera Sudhir Upadhyay S. Shetty S. Priyadarshini Palka Patel Ker Farn Lee FedML 17 13 0 11 Mar 2022
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey Zhilin Wang Qiao Kang Xinyi Zhang Qin Hu AAML FedML 57 21 0 13 Feb 2022
Attacks and Defenses for Free-Riders in Multi-Discriminator GAN Zilong Zhao Jiyue Huang Stefanie Roos L. Chen AAML 22 5 0 24 Jan 2022
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models Changyu Chen Avinandan Bose Shih-Fen Cheng Arunesh Sinha SyDa AI4CE 16 0 0 24 Jan 2022
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Tao Shen Jie M. Zhang Chao-Xiang Wu FedML 15 13 0 10 Jan 2022
Adversarial Attacks Against Deep Generative Models on Data: A Survey Hui Sun Tianqing Zhu Zhiqiu Zhang Dawei Jin Wanlei Zhou AAML 37 42 0 01 Dec 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Yuezhou Wu Yan Kang Jiahuan Luo Yuanqin He Qiang Yang FedML AAML 17 68 0 16 Nov 2021
HydraGAN A Multi-head, Multi-objective Approach to Synthetic Data Generation Chance N. DeSmet D. Cook 23 0 0 13 Nov 2021
Bi-Discriminator Class-Conditional Tabular GAN Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal 10 12 0 12 Nov 2021
Towards convergence to Nash equilibria in two-team zero-sum games Fivos Kalogiannis Ioannis Panageas Emmanouil-Vasileios Vlatakis-Gkaragkounis 17 5 0 07 Nov 2021
Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data Zilong Zhao Robert Birke A. Kunar L. Chen FedML 15 22 0 18 Aug 2021
Generative adversarial networks in time series: A survey and taxonomy Eoin Brophy Zhengwei Wang Qi She Tomas E. Ward EGVM AI4TS 9 58 0 23 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 31 42 0 20 Jul 2021
A New Distributed Method for Training Generative Adversarial Networks Jinke Ren Chonghe Liu Guanding Yu Dongning Guo 14 1 0 19 Jul 2021
Game of GANs: Game-Theoretical Models for Generative Adversarial Networks Monireh Mohebbi Moghadam Bahar Boroumand Mohammad Jalali Arman Zareian Alireza Daei Javad M. Manshaei Marwan Krunz GAN 36 27 0 13 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 21 139 0 07 Jun 2021
Diffusion-Based Representation Learning K. Abstreiter Sarthak Mittal Stefan Bauer Bernhard Schölkopf Arash Mehrjou DiffM 28 56 0 29 May 2021
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets Vaikkunth Mugunthan V. Gokul Lalana Kagal Shlomo Dubnov FedML 12 2 0 17 Mar 2021
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach Yikai Zhang Hui Qu Qi Chang Huidong Liu Dimitris N. Metaxas Chao Chen FedML 11 12 0 09 Feb 2021
Distributed Conditional Generative Adversarial Networks (GANs) for Data-Driven Millimeter Wave Communications in UAV Networks Qianqian Zhang A. Ferdowsi Walid Saad M. Bennis 19 32 0 02 Feb 2021
Continual Learning of Generative Models with Limited Data: From Wasserstein-1 Barycenter to Adaptive Coalescence M. Dedeoglu Sen Lin Zhaofeng Zhang Junshan Zhang 14 1 0 22 Jan 2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary Jean-Francois Rajotte S. Mukherjee Caleb Robinson Anthony Ortiz Christopher West J. L. Ferres R. Ng FedML MedIm 127 40 0 18 Jan 2021
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information Qi Chang Zhennan Yan L. Baskaran Hui Qu Yikai Zhang Tong Zhang Shaoting Zhang Dimitris N. Metaxas MedIm 19 12 0 15 Dec 2020