FedCE: Personalized Federated Learning Method based on Clustering Ensembles-Reference-Cited by-同舟云学术

FedCE: Personalized Federated Learning Method based on Clustering Ensembles

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
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Author:

Cai Luxin¹^ORCID,Chen Naiyue¹^ORCID,Cao Yuanzhouhan¹^ORCID,He Jiahuan²^ORCID,Li Yidong³^ORCID

Affiliation:

1. Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education; School of Computer and Information Technology, BeijingJiaotong University, Beijing, China

2. School of Computer and Information Technology, BeijingJiaotong University, Beijing, China

3. Key Laboratory of Big Data & Artificial Intelligence in Transportation, Ministry of Education, BeijingJiaotong University, Beijing, China

Funder

National Key R&D Program of China

Beijing Natural Science Foundation

National Natural Science Foundation of China under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3612217

Reference26 articles.

1. A survey on federated learning

2. Dashan Gao , Xin Yao , and Qiang Yang . A survey on heterogeneous federated learning , Oct 2022 . Dashan Gao, Xin Yao, and Qiang Yang. A survey on heterogeneous federated learning, Oct 2022.

3. Adaptive Client Clustering for Efficient Federated Learning over Non-IID and Imbalanced Data

4. Honglin Yuan , Warren Morningstar , Lin Ning , and Karan Singhal . What do we mean by generalization in federated learning? arXiv preprint arXiv:2110.14216 , 2021 . Honglin Yuan, Warren Morningstar, Lin Ning, and Karan Singhal. What do we mean by generalization in federated learning? arXiv preprint arXiv:2110.14216, 2021.

5. Federated Knowledge Transfer for Heterogeneous Visual Models

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