Specificity-Preserving Federated Learning for MR Image Reconstruction-Reference-Cited by-同舟云学术

Specificity-Preserving Federated Learning for MR Image Reconstruction

Author:

Feng Chun-Mei¹,Yan Yunlu²,Wang Shanshan³^ORCID,Xu Yong²^ORCID,Shao Ling⁴^ORCID,Fu Huazhu⁵^ORCID

Affiliation:

1. Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

2. Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology (Shenzhen), Shenzhen, China

3. Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, CAS, Shenzhen, China

4. UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China

5. Institute of High Performance Computing, A*STAR, Singapore, Singapore

Funder

Shenzhen Science and Technology Innovation Committee

Agency for Science, Technology and Research (A*STAR) AME Programmatic Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference58 articles.

4. Federated learning: Strategies for improving communication efficiency;kone?ný;arXiv 1610 05492,2016

5. FedBN: Federated learning on non-IID features via local batch normalization;li;arXiv 2102 07623,2021

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