Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification

16 July 2024

Papers citing "Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification"

4 / 4 papers shown

Title
Conquering the Communication Constraints to Enable Large Pre-Trained Models in Federated Learning Guangyu Sun Umar Khalid Matías Mendieta Taojiannan Yang C. L. P. Chen FedML 35 13 0 04 Oct 2022
Towards a Unified View on Visual Parameter-Efficient Transfer Learning Bruce X. B. Yu Jianlong Chang Lin Liu Qi Tian Changan Chen VPVLM VLM 37 27 0 03 Oct 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 106 373 0 26 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 233 5,353 0 11 Nov 2021