Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data

13 May 2024

Papers citing "Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data"

9 / 9 papers shown

Title
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization Zhuang Qi Sijin Zhou Lei Meng Han Hu Han Yu Xiangxu Meng FedML CML 38 0 0 08 May 2025
AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions Xianke Qiang Zheng Chang Ying-Chang Liang FedML 70 0 0 26 Mar 2025
Federated Learning Client Pruning for Noisy Labels Mahdi Morafah Hojin Chang C. L. P. Chen Bill Lin 30 0 0 11 Nov 2024
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev C. L. P. Chen M. Shah Bill Lin FedML 29 44 0 21 Sep 2022
Label-Efficient Semantic Segmentation with Diffusion Models Dmitry Baranchuk Ivan Rubachev A. Voynov Valentin Khrulkov Artem Babenko DiffM VLM 187 508 0 06 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 322 1,570 0 10 Nov 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 82 936 0 03 Feb 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 180 535 0 30 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 168 323 0 19 Mar 2020