Yongheng Deng

Orcid: 0000-0003-3010-3812

According to our database1, Yongheng Deng authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer.
CoRR, 2023

A Hierarchical Knowledge Transfer Framework for Heterogeneous Federated Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

A Prototype-Based Knowledge Distillation Framework for Heterogeneous Federated Learning.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

LEARN: Selecting Samples Without Training Verification for Communication-Efficient Vertical Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2023

2022
AUCTION: Automated and Quality-Aware Client Selection Framework for Efficient Federated Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation.
IEEE Trans. Parallel Distributed Syst., 2022

Making resource adaptive to federated learning with COTS mobile devices.
Peer-to-Peer Netw. Appl., 2022

TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

HSFL: An Efficient Split Federated Learning Framework via Hierarchical Organization.
Proceedings of the 18th International Conference on Network and Service Management, 2022

2021
Mortgage Brokers and the Effectiveness of Regulatory Oversights.
Manag. Sci., 2021

FAIR: Quality-Aware Federated Learning with Precise User Incentive and Model Aggregation.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

SHARE: Shaping Data Distribution at Edge for Communication-Efficient Hierarchical Federated Learning.
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.
J. Inf. Sci., 2019

Toward Fast and Distributed Computation Migration System for Edge Computing in IoT.
IEEE Internet Things J., 2019

2018
Research on investor sentiment and stock market prediction based on Weibo text.
Proceedings of the 2018 International Conference on Security, 2018


  Loading...