Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification-Reference-Cited by-同舟云学术

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Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification

Published:2024 Issue: Volume:19 Page:5738-5750
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Huang Wenke¹^ORCID,Liu Yuxia¹^ORCID,Ye Mang¹^ORCID,Chen Jun¹^ORCID,Du Bo¹^ORCID

Affiliation:

1. National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Hubei Key Laboratory of Multimedia and Network Communication Engineering, the School of Computer Science, and Hubei Luojia Laboratory, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

Special Fund of Hubei Luojia Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10534053.pdf?arnumber=10534053

Reference81 articles.

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

2. ImageNet: A large-scale hierarchical image database

3. Microsoft COCO: Common Objects in Context

4. Towards Pose Invariant Face Recognition in the Wild

5. Dual-agent GANs for photorealistic and identity preserving profile face synthesis;Zhao

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