Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model

6 May 2023

Papers citing "Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model"

7 / 7 papers shown

Title
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions Flora Amato Lingyu Qiu Mohammad Tanveer S. Cuomo F. Giampaolo F. Piccialli FedML 43 0 0 05 May 2025
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 32 7 0 02 Sep 2024
Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning Shangchao Su Min Yang Bin Li Xiangyang Xue VLM FedML 16 17 0 15 Nov 2022
Pretraining is All You Need for Image-to-Image Translation Tengfei Wang Ting Zhang Bo Zhang Hao Ouyang Dong Chen Qifeng Chen Fang Wen DiffM 176 177 0 25 May 2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process Zhaoyang Lyu Xu Xudong Ceyuan Yang Dahua Lin Bo Dai DiffM 182 90 0 25 May 2022
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: Opportunities and Challenges P. Mammen FedML 42 208 0 14 Jan 2021