Papers citing 'Federated Generative Learning with Foundation Models'

Title
FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective Zhekai Zhou Shudong Liu Zhaokun Zhou Yang Liu Qiang Yang Yuesheng Zhu Guibo Luo 84 0 0 07 Aug 2025
A New One-Shot Federated Learning Framework for Medical Imaging Classification with Feature-Guided Rectified Flow and Knowledge Distillation Yufei Ma Hanwen Zhang Qiya Yang Guibo Luo Yuesheng Zhu 217 0 0 25 Jul 2025
Federated Learning for Medical Image Classification: A Comprehensive Benchmark Zhekai Zhou Guibo Luo Mingzhi Chen Zhenyu Weng Yuesheng Zhu FedML 214 6 0 07 Apr 2025
Data-free Knowledge Distillation with Diffusion Models Xiaohua Qi Renda Li Long Peng Q. Ling Jun Yu Ziyi Chen Peng Chang Mei Han Jing Xiao 198 6 0 01 Apr 2025
WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion Models Tao Feng Jie Zhang Xiangjian Li Rong Huang Huashan Liu Zhijie Wang FedML 205 0 0 05 Mar 2025
Vision Foundation Models in Medical Image Analysis: Advances and Challenges Pengchen Liang Bin Pu Haishan Huang Yiwei Li Jian Shu Weibo Ma Qing Chang VLM MedIm 290 4 0 24 Feb 2025
Does Training with Synthetic Data Truly Protect Privacy?International Conference on Learning Representations (ICLR), 2025 Yunpeng Zhao Jie Zhang 279 4 0 18 Feb 2025
One-shot Federated Learning via Synthetic Distiller-Distillate CommunicationNeural Information Processing Systems (NeurIPS), 2024 Junyuan Zhang Songhua Liu Xinchao Wang DD FedML 213 7 0 06 Dec 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024 Haokun Chen Hang Li Yao Zhang Gengyuan Zhang Jinhe Bi Juil Sock Philip Torr Denis Krompass Denis Krompass Volker Tresp 310 12 0 07 Oct 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual LearningEuropean Conference on Computer Vision (ECCV), 2024 Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 234 18 0 02 Sep 2024
FedDEO: Description-Enhanced One-Shot Federated Learning with Diffusion ModelsACM Multimedia (MM), 2024 Mingzhao Yang Shangchao Su Bin Li Xiangyang Xue 172 12 0 29 Jul 2024
Adaptive Frequency Enhancement Network for Single Image Deraining Fei Yan Yuhong He Keyu Chen En Cheng Jikang Ma 170 3 0 19 Jul 2024
Synergizing Foundation Models and Federated Learning: A Survey Shenghui Li Fanghua Ye Meng Fang Jiaxu Zhao Yun-Hin Chan Edith C. -H. Ngai Thiemo Voigt AI4CE 240 9 0 18 Jun 2024
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Yuanhang Qi M. Hossain 155 10 0 30 Apr 2024
Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024 Jiachen Ma Anda Cao Zhiqing Xiao Jie Zhang Chaonan Ye Chao Ye Junbo Zhao 477 57 0 02 Apr 2024
MPCPA: Multi-Center Privacy Computing with Predictions Aggregation based on Denoising Diffusion Probabilistic Model Guibo Luo Hanwen Zhang Xiuling Wang Mingzhi Chen Yuesheng Zhu DiffM 167 2 0 12 Mar 2024
DiffClass: Diffusion-Based Class Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024 Zichong Meng Jie Zhang Changdi Yang Zheng Zhan Pu Zhao Yanzhi Wang DiffM CLL 213 27 0 08 Mar 2024
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models Panlong Wu Kangshuo Li Ting Wang Fangxin Wang FedML MoE 215 4 0 26 Dec 2023
Real-Fake: Effective Training Data Synthesis Through Distribution MatchingInternational Conference on Learning Representations (ICLR), 2023 Jianhao Yuan Jie Zhang Shuyang Sun Juil Sock Bo Zhao 171 44 0 16 Oct 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive SurveyACM Computing Surveys (ACM Comput. Surv.), 2023 Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 252 88 0 06 Feb 2023
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data R. SantiagoS.Silva B. Gutman E. Romero P. Thompson Andre Altmann Marco Lorenzi FedML 236 194 0 19 Oct 2018