Fairness-Aware Federated Learning Framework on Heterogeneous Data Distributions-Reference-Cited by-同舟云学术

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Fairness-Aware Federated Learning Framework on Heterogeneous Data Distributions

Published:2024-06-09 Issue: Volume:34 Page:728-733
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Li Ye¹,Zhang Jiale¹,Zhao Yanchao²,Chen Bing²,Yu Shui³

Affiliation:

1. School of Information Engineering, Yangzhou University,Yangzhou,China,225127

2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics,Nanjing,China,211106

3. School of Computer Science, University of Technology Sydney,Sydney,Australia,2007

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10623037.pdf?arnumber=10623037

Reference25 articles.

1. Towards Fair Federated Learning

2. Fairness through awareness

3. The Selective Labels Problem

4. Bias propagation in federated learning;Chang,2023

5. Mitigating bias in federated learning;Abay;arXiv preprint,2020

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