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

H. Du, R. Zhang, Y. Liu, J. Wang, Y. Lin, Z. Li, D. Niyato, J. Kang, Z. Xiong, S. Cui, B. Ai, H. Zhou, and D. Kim. CoRR, (2023)

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Li Li

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Effective Intrusion Detection in Highly Imbalanced IoT Networks with Lightweight S2CGAN-IDS.C. Wang, D. Xu, Z. Li, and D. Niyato. CoRR, (2023)NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs.H. Zhou, Z. Li, H. Yu, L. Luo, and G. Sun. IEEE Trans. Serv. Comput., 16 (6): 4115-4127 (November 2023)ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers.Z. Li, H. Zhou, T. Zhou, H. Yu, Z. Xu, and G. Sun. IEEE Trans. Serv. Comput., 15 (4): 2261-2274 (2022)Mitigating Conflicting Transactions in Hyperledger Fabric-Permissioned Blockchain for Delay-Sensitive IoT Applications.X. Xu, X. Wang, Z. Li, H. Yu, G. Sun, S. Maharjan, and Y. Zhang. IEEE Internet Things J., 8 (13): 10596-10607 (2021)Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT.Z. Li, Y. He, H. Yu, J. Kang, X. Li, Z. Xu, and D. Niyato. CoRR, (2022)Graph Learning Enhanced UAV Swarms Based Multiple Targets Tracking.L. Zhou, S. Leng, Z. Li, H. Du, and D. Niyato. GLOBECOM, page 3747-3752. IEEE, (2023)ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles.H. Luo, J. Zhang, X. Li, Z. Li, H. Yu, G. Sun, and D. Niyato. IEEE Trans. Veh. Technol., 73 (4): 5602-5615 (April 2024)Simplifying Flow Updates in Software-Defined Networks Using Atoman.L. Luo, Z. Li, J. Wang, and H. Yu. IEEE Access, (2019)HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse.S. Zeng, Z. Li, H. Yu, Z. Zhang, L. Luo, B. Li, and D. Niyato. IEEE Trans. Cloud Comput., 11 (3): 3055-3069 (July 2023)CoFED: Cross-silo Heterogeneous Federated Multi-task Learning via Co-training.X. Cao, Z. Li, H. Yu, and G. Sun. CoRR, (2022)

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Disambiguation of "Li, Zonghang"

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

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Zonghang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
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Beyond Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization.