Chao Huang

Orcid: 0000-0001-7309-2303

Affiliations:

UC Davis, Department of Computer Science, CA, USA
Chinese University of Hong Kong, Department of Information Engineering, Hong Kong

According to our database¹, Chao Huang authored at least 15 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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PhD thesis

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Bibliography

2024

Promoting Collaboration in Cross-Silo Federated Learning: Challenges and Opportunities.

[BibT_eX]

[DOI]

IEEE Commun. Mag., April, 2024

Duopoly Business Competition in Cross-Silo Federated Learning.

[BibT_eX]

[DOI]

Chao Huang

Shuqi Ke

Xin Liu

IEEE Trans. Netw. Sci. Eng., 2024

Convergence Analysis of Split Federated Learning on Heterogeneous Data.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Online Crowd Learning Through Strategic Worker Reports.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., September, 2023

Strategic Information Revelation Mechanism in Crowdsourcing Applications Without Verification.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., May, 2023

An Online Inference-Aided Incentive Framework for Information Elicitation Without Verification.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., April, 2023

On the Impact of Label Noise in Federated Learning.

[BibT_eX]

[DOI]

Shuqi Ke

Chao Huang

Xin Liu

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Federated Learning in Competitive EV Charging Market.

[BibT_eX]

[DOI]

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

Incentive Mechanism Design for Distributed Ensemble Learning.

[BibT_eX]

[DOI]

Chao Huang

Pengchao Han

Jianwei Huang

Proceedings of the IEEE Global Communications Conference, 2023

2022

Eliciting Information From Heterogeneous Mobile Crowdsourced Workers Without Verification.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

Using Truth Detection to Incentivize Workers in Mobile Crowdsourcing.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

2021

Strategic Information Revelation in Crowdsourcing Systems Without Verification.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Online Crowd Learning with Heterogeneous Workers via Majority Voting.

[BibT_eX]

[DOI]

Proceedings of the 18th International Symposium on Modeling and Optimization in Mobile, 2020

2019

Crowdsourcing with Heterogeneous Workers in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Incentivizing Crowdsourced Workers via Truth Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Chao Huang

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