Chao Huang

According to our database, Chao Huang authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Chao Huang, Ming Tang, Qian Ma, Jianwei Huang, Xin Liu

IEEE Commun. Mag., April, 2024

Duopoly Business Competition in Cross-Silo Federated Learning.

Chao Huang, Shuqi Ke, Xin Liu

IEEE Trans. Netw. Sci. Eng., 2024

When Federated Learning Meets Oligopoly Competition: Stability and Model Differentiation.

Chao Huang, Justin Dachille, Xin Liu

IEEE Internet Things J., 2024

Convergence Analysis of Split Federated Learning on Heterogeneous Data.

Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu

CoRR, 2024

Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning.

Pengchao Han, Chao Huang, Xingyan Shi, Jianwei Huang, Xin Liu

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

An Accuracy-Shaping Mechanism for Competitive Distributed Learning.

Chao Huang, Justin Dachille, Xin Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023

Online Crowd Learning Through Strategic Worker Reports.

Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry

IEEE Trans. Mob. Comput., September, 2023

Strategic Information Revelation Mechanism in Crowdsourcing Applications Without Verification.

Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry

IEEE Trans. Mob. Comput., May, 2023

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

Chao Huang, Haoran Yu, Jianwei Huang, Randall Berry

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

On the Impact of Label Noise in Federated Learning.

Shuqi Ke, Chao Huang, Xin Liu

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

Information Elicitation from Decentralized Crowd Without Verification.

Kexin Chen, Chao Huang, Jianwei Huang

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

Federated Learning in Competitive EV Charging Market.

Chenxi Sun, Chao Huang, Biying Shou, Jianwei Huang

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

Incentive Mechanism Design for Distributed Ensemble Learning.

Chao Huang, Pengchao Han, Jianwei Huang

Proceedings of the IEEE Global Communications Conference, 2023

2022

Eliciting Information From Heterogeneous Mobile Crowdsourced Workers Without Verification.

Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry

IEEE Trans. Mob. Comput., 2022

Using Truth Detection to Incentivize Workers in Mobile Crowdsourcing.

Chao Huang, Haoran Yu, Randall A. Berry, Jianwei Huang

IEEE Trans. Mob. Comput., 2022

Quantifying the Impact of Label Noise on Federated Learning.

Shuqi Ke, Chao Huang, Xin Liu

CoRR, 2022

Cross-Silo Federated Learning: Challenges and Opportunities.

Chao Huang, Jianwei Huang, Xin Liu

CoRR, 2022

Incentivizing Data Contribution in Cross-Silo Federated Learning.

Chao Huang, Huanle Zhang, Xin Liu

CoRR, 2022

2021

Strategic Information Revelation in Crowdsourcing Systems Without Verification.

Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry

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

2020

Online Crowd Learning with Heterogeneous Workers via Majority Voting.

Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry

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

2019

Crowdsourcing with Heterogeneous Workers in Social Networks.

Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Incentivizing Crowdsourced Workers via Truth Detection.

Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry

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