Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning

1 October 2021

Papers citing "Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning"

8 / 8 papers shown

Title
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 29 12 0 05 Dec 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation Y. Huang Wanqing Xie Mingzhen Li Mingmei Cheng Jinzhou Wu Weixiao Wang Jane You Xiaofeng Liu FedML 26 3 0 23 Oct 2023
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation Fu-En Yang Chien-Yi Wang Yu-Chiang Frank Wang VLM FedML 21 59 0 29 Aug 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 29 5 0 01 May 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 32 34 0 19 Feb 2023
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging Naif Alkhunaizi Dmitry Kamzolov Martin Takávc Karthik Nandakumar OOD 13 9 0 15 Jul 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,705 0 18 Mar 2020