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Towards the Practical Utility of Federated Learning in the Medical Domain
ACM Conference on Health, Inference, and Learning (ACM CHIL), 2022
7 July 2022
Seongjun Yang
Hyeonji Hwang
Daeyoung Kim
Radhika Dua
Jong-Yeup Kim
Eunho Yang
Edward Choi
FedML
OOD
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Papers citing
"Towards the Practical Utility of Federated Learning in the Medical Domain"
7 / 7 papers shown
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
Neural Information Processing Systems (NeurIPS), 2024
Mengmeng Chen
Xiaohu Wu
Xiaoli Tang
Tiantian He
Yew-Soon Ong
Qiqi Liu
Qicheng Lao
Han Yu
FedML
405
14
0
25 Oct 2024
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Savitha Ramasamy
Lin Liu
Habibullah Habibullah
Ryszard Kowalczyk
CLL
273
5
0
30 Jul 2024
Federated Learning for Heterogeneous Electronic Health Record Systems with Cost Effective Participant Selection
Jiyoun Kim
J. Kim
Kyunghoon Hur
Edward Choi
FedML
372
0
0
20 Apr 2024
Federated Learning in Temporal Heterogeneity
Junghwan Lee
FedML
206
0
0
17 Sep 2023
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Alejandro Guerra-Manzanares
L. J. L. Lopez
Michail Maniatakos
Farah E. Shamout
211
24
0
27 Mar 2023
Making Batch Normalization Great in Federated Deep Learning
Shitian Zhao
Hong-You Chen
Wei-Lun Chao
FedML
647
13
0
12 Mar 2023
Universal EHR Federated Learning Framework
Junu Kim
Kyunghoon Hur
Seongjun Yang
Edward Choi
FedML
214
2
0
14 Nov 2022
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