Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach

9 February 2021

Yikai Zhang

Papers citing "Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach"

4 / 4 papers shown

Title
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 45 0 0 11 Mar 2025
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 38 2 0 26 May 2024
Better Generative Replay for Continual Federated Learning Daiqing Qi Handong Zhao Sheng Li FedML 19 46 0 25 Feb 2023
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