PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy

19 May 2023

Papers citing "PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy"

5 / 5 papers shown

Title
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 32 2 0 26 May 2024
PFL-GAN: When Client Heterogeneity Meets Generative Models in Personalized Federated Learning Achintha Wijesinghe Songyang Zhang Zhi Ding 24 2 0 23 Aug 2023
UFed-GAN: A Secure Federated Learning Framework with Constrained Computation and Unlabeled Data Achintha Wijesinghe Songyang Zhang Siyu Qi Zhi Ding FedML 11 2 0 10 Aug 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning Tuo Zhang Tiantian Feng Samiul Alam Dimitrios Dimitriadis Sunwoo Lee Mi Zhang Shrikanth S. Narayanan Salman Avestimehr FedML 13 27 0 03 Jun 2023
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 355 0 07 Dec 2020