Future-Proofing Medical Imaging with Privacy-Preserving Federated
Learning and Uncertainty Quantification: A Review

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review

24 September 2024

Nikolas Koutsoubis

R. Ramachandran

ArXiv (abs)PDF HTML

Papers citing "Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review"

14 / 14 papers shown

Title
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift Vincent Plassier Mehdi Makni Aleksandr Rubashevskii Eric Moulines Maxim Panov FedML 56 17 0 08 Jun 2023
FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data Tailin Zhou Jun Zhang Danny H. K. Tsang FedML 66 60 0 17 Nov 2022
Federated Learning Enables Big Data for Rare Cancer Boundary Detection Sarthak Pati Ujjwal Baid Brandon Edwards Micah J. Sheller Shih-Han Wang ... Prashant Shah Bjoern Menze J. Barnholtz-Sloan Jason Martin Spyridon Bakas FedML AI4CE 109 218 0 22 Apr 2022
Self-Aware Personalized Federated Learning Huili Chen Jie Ding Eric W. Tramel Shuang Wu Anit Kumar Sahu Salman Avestimehr Tao Zhang FedML 72 27 0 17 Apr 2022
APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning Minseok Ryu Youngdae Kim Kibaek Kim Ravi K. Madduri FedML 72 29 0 08 Feb 2022
Personalized Federated Learning with Adaptive Batchnorm for Healthcare Wang Lu Jindong Wang Yiqiang Chen Xin Qin Renjun Xu Dimitrios Dimitriadis Tao Qin FedML OOD 80 65 0 01 Dec 2021
Decentralized Federated Learning through Proxy Model Sharing Shivam Kalra Junfeng Wen Jesse C. Cresswell M. Volkovs Hamid R. Tizhoosh FedML 68 100 0 22 Nov 2021
Fed-ensemble: Improving Generalization through Model Ensembling in Federated Learning Naichen Shi Fan Lai Raed Al Kontar Mosharaf Chowdhury FedML 79 36 0 21 Jul 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 83 342 0 09 Jun 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 80 661 0 20 May 2021
OpenFL: An open-source framework for Federated Learning G. A. Reina Alexey Gruzdev Patrick Foley O. Perepelkina Mansi Sharma ... Sarthak Pati Prakash Narayana Moorthy Shih-Han Wang Prashant Shah Spyridon Bakas FedML AIFin 99 111 0 13 May 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 278 821 0 15 Feb 2021
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 127 1,624 0 01 Nov 2019
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,559 0 17 Feb 2016

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