FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models

17 August 2024

Papers citing "FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models"

5 / 5 papers shown

Title
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections Max Kirchner Alexander C. Jenke S. Bodenstedt F. Kolbinger Oliver Saldanha Jakob N. Kather M. Wagner Stefanie Speidel FedML MedIm 29 0 0 23 Apr 2025
A Survey on Federated Fine-tuning of Large Language Models Yebo Wu Chunlin Tian Jingguang Li He Sun Kahou Tam Li Li Chengzhong Xu FedML 47 0 0 15 Mar 2025
Vision Foundation Models in Medical Image Analysis: Advances and Challenges Pengchen Liang Bin Pu Haishan Huang Yiwei Li H. Wang Weibo Ma Qing Chang VLM MedIm 80 0 0 24 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 56 1 0 14 Feb 2025
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis Jiaqi Wang Ziyi Yin Quanzeng You Lingjuan Lyu Fenglong Ma FedML 51 0 0 27 Dec 2024