ivanshih / federated-learning-in-healthcare

A list of papers on Federated Deep Learning in Healthcare, in particular, algorithms Deep Learning with Medical Imaging.

Federated-Learning-In-Healthcare

Background

To the best of my knowledge, this is the first list of federated deep learning papers in healthcare. There are couple of lists for federated learning papers in general, or computer vision, for example Awesome-Federated-Learning. In this list, I try to classify the papers based on the common challenges in federated deep learning. I believe this list could be a good starting point for FL researchers in Healthcare.

Criteria

1. A list of top federated deep learning papers published since 2016.
2. Papers are collected from peer-reviewed journals and high reputed conferences. However, it might have recent papers on arXiv.
3. A meta-data is required along the paper, e.g. topic.
4. Some fundamental papers could be listed here as well.

List of Journals / Conferences (J/C):

• Medical Image Analysis (MedIA)
• IEEE Transaction on Medical Imaging (IEEE-TMI)
• IEEE Transaction on Biomedical Engineering (IEEE-TBME)
• IEEE Journal of Biomedical and Health Informatics (IEEE-JBHI)
• International Conference on Information Processing in Medical Imaging (IPMI)
• International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
• International Conference on Medical Imaging with Deep Learning (MIDL)
• IEEE International Symposium on Biomedical Imaging (ISBI)

List

Topic	No	Title	Conference/Journal	Link
Intro. to FL	1	FedAvg: Communication-Efficient Learning of Deep Networks from Decentralized Data	AISTATS, 2016	arXiv
	2	The Future of Digital Health with Federated Learning	arXiv, 2020	arXiv
Challenges	3	Federated Learning: Challenges, Methods, and Future Directions	IEEE Signal Processing Magazine, 2020	arXiv
	4	On the Convergence of FedAvg on Non-IID Data	ICLR 2020	PDF
Data Heterogeneity I	5	FedMA: Federated Learning with Matched Averaging	ICLR 2020	PDF
	6	Federated Adversarial Domain Adaptation	ICLR 2020	PDF
	7	Federated optimization in heterogeneous networks		PDF
	8	FedAwS: Federated Learning with Only Positive Labels	ICML 2020	PDF
	9	SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	ICML 2020	PDF
	10	Federated Visual Classification with Real-World Data Distribution	CVPR 2020
System Heterogeneity	11	Federated Multi-Task Learning	NeurIPS 2017	PDF
	12	Variational Federated Multi-Task Learning	arXiv 2019	arXiv
Privacy-Issues	13	Secure, privacy-preserving and federated machine learning in medical imaging	Nature MI	HTML
	14	Differentially Private Meta-Learning	ICLR 2020	PDF
Explainability and Robustness	15
	16	DBA: Distributed Backdoor Attacks against Federated Learning	ICLR 2020	PDF
Open Problems in FL	--	Advances and Open Problems in Federated Learning	arXiv	PDF
Federated Learning with Medical Imaging	17	Privacy-preserving Federated Brain Tumour Segmentation	MICCAIW 2019	HTML
	18	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	MICCAIW 2019	HTML
	19	Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data	ISBI 2019	HTML
	20	Inverse Distance Aggregation for Federated Learning with Non-IID Data	MICCAIW 2020	PDF