Federated Learning in Medical Imaging: Part II: Methods, Challenges, and Considerations

Author:

Darzidehkalani ErfanORCID,Ghasemi-rad Mohammad,van Ooijen P.M.A.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging

Reference29 articles.

1. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

2. Wang Z, Hu Q. Blockchain-based federated learning: a comprehensive survey. Preprint. arXiv 2021; 2110.02182.

3. Distributed deep learning networks among institutions for medical imaging;Chang;J Am Med Inform Assoc,2018

4. Li X, Jiang M, Zhang X, Kamp M, Dou Q. Fedbn: Federated learning on non-iid features via local batch normalization. Preprint. arXiv 2021; 2102.07623.

5. Poirot MG, Vepakomma P, Chang K, Kalpathy-Cramer J, Gupta R, Raskar R. Split learning for collaborative deep learning in healthcare. Preprint. arXiv 2019; 1912.12115.

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