Yongheng Deng

Orcid: 0000-0003-3010-3812

According to our database¹, Yongheng Deng authored at least 19 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

A Communication-Efficient Hierarchical Federated Learning Framework via Shaping Data Distribution at Edge.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., June, 2024

RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

Federated Offline Policy Optimization with Dual Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

2023

Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer.

[BibT_eX]

[DOI]

CoRR, 2023

FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2023, 2023

A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

Making resource adaptive to federated learning with COTS mobile devices.

[BibT_eX]

[DOI]

Peer-to-Peer Netw. Appl., 2022

TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Network and Service Management, 2022

2021

Mortgage Brokers and the Effectiveness of Regulatory Oversights.

[BibT_eX]

[DOI]

Manag. Sci., 2021

FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation.

[BibT_eX]

[DOI]

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

SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2019

A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data.

[BibT_eX]

[DOI]

J. Inf. Sci., 2019

Toward Fast and Distributed Computation Migration System for Edge Computing in IoT.

[BibT_eX]

[DOI]

Chao Wu

Yaoxue Zhang

Yongheng Deng

IEEE Internet Things J., 2019

2018

Research on investor sentiment and stock market prediction based on Weibo text.

[BibT_eX]

[DOI]

Yongheng Deng

Qing Xie

Yong Wang

Proceedings of the 2018 International Conference on Security, 2018

Yongheng Deng

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