FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data-Reference-Cited by-同舟云学术

FedCD: A Classifier Debiased Federated Learning Framework for Non-IID Data

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:

Long Yunfei¹^ORCID,Xue Zhe¹^ORCID,Chu Lingyang²^ORCID,Zhang Tianlong¹^ORCID,Wu Junjiang¹^ORCID,Zang Yu¹^ORCID,Du Junping¹^ORCID

Affiliation:

1. Beijing University of Posts and Telecommunication, Beijing, China

2. McMaster University, Hamilton, Canada

Funder

CCF-Tencent Open Research Fund

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611966

Reference48 articles.

1. Durmus Alp Emre Acar , Yue Zhao , Ramon Matas Navarro , Matthew Mattina, Paul N Whatmough, and Venkatesh Saligrama. 2021 a. Federated learning based on dynamic regularization. arXiv preprint arXiv:2111.04263 (2021). Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N Whatmough, and Venkatesh Saligrama. 2021a. Federated learning based on dynamic regularization. arXiv preprint arXiv:2111.04263 (2021).

2. Durmus Alp Emre Acar , Yue Zhao , Ruizhao Zhu , Ramon Matas , Matthew Mattina , Paul Whatmough , and Venkatesh Saligrama . 2021 b. Debiasing model updates for improving personalized federated training . In International Conference on Machine Learning. PMLR, 21--31 . Durmus Alp Emre Acar, Yue Zhao, Ruizhao Zhu, Ramon Matas, Matthew Mattina, Paul Whatmough, and Venkatesh Saligrama. 2021b. Debiasing model updates for improving personalized federated training. In International Conference on Machine Learning. PMLR, 21--31.

3. Provably Secure Federated Learning against Malicious Clients

4. Hong-You Chen and Wei-Lun Chao . 2020 . Fedbe: Making bayesian model ensemble applicable to federated learning. arXiv preprint arXiv:2009.01974 (2020). Hong-You Chen and Wei-Lun Chao. 2020. Fedbe: Making bayesian model ensemble applicable to federated learning. arXiv preprint arXiv:2009.01974 (2020).

5. Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607.