Tao Zhang
Orcid: 0000-0002-3366-7640Affiliations:
- Beijing Jiaotong University, School of Cyberspace Science and Technology, Beijing, China
- Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China (PhD 2023)
According to our database1,
Tao Zhang
authored at least 32 papers
between 2018 and 2025.
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Bibliography
2025
An adaptive asynchronous federated learning framework for heterogeneous Internet of things.
Inf. Sci., 2025
2024
Blockchain and Trusted Hardware-Enabled Data Scheduling for Edge Learning in Wireless IIoT.
IEEE Internet Things J., November, 2024
EPDB: An Efficient and Privacy-Preserving Electric Charging Scheme in Internet of Robotic Things.
IEEE Internet Things J., October, 2024
Securing Federated Diffusion Model With Dynamic Quantization for Generative AI Services in Multiple-Access Artificial Intelligence of Things.
IEEE Internet Things J., September, 2024
DecFFD: A Personalized Federated Learning Framework for Cross-Location Fault Diagnosis.
IEEE Trans. Ind. Informatics, May, 2024
Optimizing Resource Allocation for Multi-modal Semantic Communication in Mobile AIGC Networks: A Diffusion-based Game Approach.
CoRR, 2024
Hybrid-Generative Diffusion Models for Attack-Oriented Twin Migration in Vehicular Metaverses.
CoRR, 2024
Towards Secrecy Energy-Efficient RIS Aided UAV Network: A Lyapunov-Guided Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024
Energy Efficiency Maximization for Secure Live Video Streaming in UAV Wireless Networks.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
A Dynamic Priority Packet Scheduling for UAV Assisted AoI-Aware Network: A Deep Reinforcement Learning Approach.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
QoE Maximization for Video Streaming in Cache-Enable Satellite-UAV-Terrestrial Network.
Proceedings of the IEEE International Conference on Communications, 2024
Deep Reinforcement Learning-Based Moving Target Defense for Multicast in Software-Defined Satellite Networks.
Proceedings of the IEEE International Conference on Communications, 2024
On-demand Quantization for Green Federated Generative Diffusion in Mobile Edge Networks.
Proceedings of the IEEE International Conference on Communications, 2024
2023
When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach.
IEEE J. Sel. Areas Commun., October, 2023
IEEE Trans. Ind. Informatics, 2023
How to Disturb Network Reconnaissance: A Moving Target Defense Approach Based on Deep Reinforcement Learning.
IEEE Trans. Inf. Forensics Secur., 2023
Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach.
IEEE Trans. Dependable Secur. Comput., 2023
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023
Decentralized Reputation-based Leader Election for Privacy-preserving Federated Learning on Internet of Things.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023
2022
Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., 2022
MARL-MOTAG: Multi-Agent Reinforcement Learning Based Moving Target Defense to thwart DDoS attacks.
Proceedings of the International Conference on Networking and Network Applications, 2022
CMT-MQ: Multi-QoS Aware Adaptive Concurrent Multipath Transfer With Reinforcement Learning.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
2021
IEEE Internet Things J., 2021
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021
2020
DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020
2019
An Efficient and Agile Spatio-Temporal Route Mutation Moving Target Defense Mechanism.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Proceedings of the 20th IEEE International Conference on High Performance Switching and Routing, 2019
An Intelligent Route Mutation Mechanism against Mixed Attack Based on Security Awareness.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Intelligent Routing Algorithm Based on Deep Belief Network for Multimedia Service in Knowledge Centric VANETs.
Proceedings of the International Conference on Networking and Network Applications, 2018
Proceedings of the International Conference on Networking and Network Applications, 2018