Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning-Reference-Cited by-同舟云学术

Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Qu Liangqiong¹,Zhou Yuyin²,Liang Paul Pu³,Xia Yingda⁴,Wang Feifei¹,Adeli Ehsan¹,Fei-Fei Li¹,Rubin Daniel¹

Affiliation:

1. Stanford University

2. UC Santa Cruz

3. Carnegie Mellon University

4. Johns Hopkins University

Funder

NCI

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09880336.pdf?arnumber=9880336

Reference69 articles.

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3. Federated learning for speech emotion recognition applications;latif;2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN),0

4. FedScale

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