Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning-Reference-Cited by-同舟云学术

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Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning

Published:2024 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Yu Chong¹^ORCID,Shen Shuaiqi²,Wang Shiqiang³^ORCID,Zhang Kuan⁴^ORCID,Zhao Hai⁵^ORCID

Affiliation:

1. Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA

2. Department of Electrical Engineering, University of Wisconsin–Milwaukee, Milwaukee, WI, USA

3. IBM T. J. Watson Research Center, Yorktown Heights, NY, USA

4. Department of Electrical and Computer Engineering, University of Nebraska–Lincoln, Lincoln, NE, USA

5. Department of Computer Science and Engineering, Northeastern University, Shenyang, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/10496206.pdf?arnumber=10496206

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