Personalized Federated Learning with Multi-branch Architecture

Author:

Mori Junki1,Yoshiyama Tomoyuki,Furukawa Ryo1,Teranishi Isamu1

Affiliation:

1. NEC Corporation,Kanagawa,Japan

Publisher

IEEE

Reference40 articles.

1. Federated optimization in heterogeneous networks;li;Proceedings of Machine Learning and Systems,0

2. Efficient federated learning for fault diagnosis in industrial cloud-edge computing

3. Advances and open problems in federated learning;kairouz;Foundations and Trends� in Machine Learning,2021

4. Semi-hfl: semi-supervised federated learning for heterogeneous devices;zhong;Complex & Intelligent Systems,2022

5. Model-Contrastive Federated Learning

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fed-MStacking: Heterogeneous Federated Learning With Stacking Misaligned Labels for Abnormal Heart Sound Detection;IEEE Journal of Biomedical and Health Informatics;2024-09

2. Fusion of Current and Historical Knowledge for Personalized Federated Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Federated Learning Enhanced by Continual Learning for Common and Uncommon Features;Transactions of the Japanese Society for Artificial Intelligence;2024-05-01

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