Zonghang Li

Orcid: 0000-0002-2796-039X

According to our database¹, Zonghang Li authored at least 25 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

ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., April, 2024

2023

Blockchain-Based Decentralized and Lightweight Anonymous Authentication for Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., September, 2023

Cross-silo heterogeneous model federated multitask learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., April, 2023

NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2023

HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse.

[BibT_eX]

[DOI]

IEEE Trans. Cloud Comput., 2023

Personalized Saliency in Task-Oriented Semantic Communications: Image Transmission and Performance Analysis.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2023

Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Effective Intrusion Detection in Highly Imbalanced IoT Networks with Lightweight S2CGAN-IDS.

[BibT_eX]

[DOI]

CoRR, 2023

Generative AI-aided Optimization for AI-Generated Content (AIGC) Services in Edge Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Learning Enhanced UAV Swarms Based Multiple Targets Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2022

FedGS: A federated group synchronization framework for heterogeneous data.

[BibT_eX]

[DOI]

Zonghang Li

Yihong He

Softw. Impacts, 2022

Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial Metaverse.

[BibT_eX]

[DOI]

CoRR, 2022

CoFED: Cross-silo Heterogeneous Federated Multi-task Learning via Co-training.

[BibT_eX]

[DOI]

CoRR, 2022

Joint Client Selection and Resource Allocation for Federated Learning in Mobile Edge Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2022

2021

TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., 2021

Byzantine Resistant Secure Blockchained Federated Learning at the Edge.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Mitigating Conflicting Transactions in Hyperledger Fabric-Permissioned Blockchain for Delay-Sensitive IoT Applications.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

2020

Online job scheduling for distributed machine learning in optical circuit switch networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

2019

Simplifying Flow Updates in Software-Defined Networks Using Atoman.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Reinforcement learning-based QoS/QoE-aware service function chaining in software-driven 5G slices.

[BibT_eX]

[DOI]

Trans. Emerg. Telecommun. Technol., 2018

Zonghang Li

Timeline

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