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Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

T. Shen, J. Zhang, X. Jia, F. Zhang, Z. Lv, K. Kuang, C. Wu, and F. Wu. Frontiers Inf. Technol. Electron. Eng., 24 (10): 1390-1402 (October 2023)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Yue Zhang

Xianghui Zhang

Le Zhang

Other publications of authors with the same name

Federated Mutual Learning.T. Shen, J. Zhang, X. Jia, F. Zhang, G. Huang, P. Zhou, F. Wu, and C. Wu. CoRR, (2020)Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.T. Shen, J. Zhang, X. Jia, F. Zhang, Z. Lv, K. Kuang, C. Wu, and F. Wu. Frontiers Inf. Technol. Electron. Eng., 24 (10): 1390-1402 (October 2023)Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.J. Yao, S. Zhang, Y. Yao, F. Wang, J. Ma, J. Zhang, Y. Chu, L. Ji, K. Jia, T. Shen and 8 other author(s). IEEE Trans. Knowl. Data Eng., 35 (7): 6866-6886 (July 2023)Federated Unsupervised Representation Learning.F. Zhang, K. Kuang, Z. You, T. Shen, J. Xiao, Y. Zhang, C. Wu, Y. Zhuang, and X. Li. CoRR, (2020)Evaluation Framework For Large-scale Federated Learning.L. Liu, F. Zhang, J. Xiao, and C. Wu. CoRR, (2020)FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances.Y. Liu, K. Kuang, F. Zhang, and F. Wu. CICAI (2), volume 14474 of Lecture Notes in Computer Science, page 3-14. Springer, (2023)Training Encrypted Models with Privacy-preserved Data on Blockchain.L. Liu, Y. Hu, J. Yu, F. Zhang, G. Huang, J. Xiao, and C. Wu. ICVISP, page 29:1-29:6. ACM, (2019)Distributionally Generative Augmentation for Fair Facial Attribute Classification.F. Zhang, Q. He, K. Kuang, J. Liu, L. Chen, C. Wu, J. Xiao, and H. Zhang. CoRR, (2024)Unified Group Fairness on Federated Learning.F. Zhang, K. Kuang, Y. Liu, C. Wu, F. Wu, J. Lu, Y. Shao, and J. Xiao. CoRR, (2021)Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes.F. Zhang, K. Kuang, L. Chen, Y. Liu, C. Wu, and J. Xiao. ICLR, OpenReview.net, (2023)

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Disambiguation of "Zhang, Fengda"

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Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yue Zhang

Xianghui Zhang

Le Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Fengda"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Yue Zhang

Xianghui Zhang

Le Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.