Bo Xu
Orcid: 0000-0003-4147-0263Affiliations:
- Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Wireless Communications, China
According to our database1,
Bo Xu authored at least 28 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
Optimizing Efficient Federated Split Learning Over Wireless Networks: Challenges and Opportunities.
IEEE Netw., March, 2026
Agentic AI for SAGIN Resource Management_Semantic Awareness, Orchestration, and Optimization.
CoRR, March, 2026
Device Association and Resource Allocation for Hierarchical Split Federated Learning in Space-Air-Ground Integrated Network.
CoRR, January, 2026
Convergence Analysis and Resource Allocation for Hierarchical Split Federated Learning Over Space-Air-Ground Integrated Networks.
IEEE Signal Process. Lett., 2026
Toward Smart and Green Energy Stations: A Cognitive Digital Twin Framework for Intelligent Management.
IEEE Internet Comput., 2026
2025
Energy-Constrained Multidimensional Optimization for UAV-Aided Secure Data Collection With Cooperative Jamming.
IEEE Trans. Veh. Technol., December, 2025
Clustering-Based Charger Deployment and Trajectory Optimization for UAV-Assisted Wireless Networks.
IEEE Wirel. Commun. Lett., August, 2025
Learning Distributed Neural Network-Based Beam Codebooks on FPGAs: Adapting to Unevenly Distributed Users in mmWave Massive MIMO IoT System With Hardware Acceleration.
IEEE Internet Things J., August, 2025
Mobility-Aware Task Offloading in Industrial Fog Networks: A Submodular-Based MARL Approach.
IEEE Internet Things J., April, 2025
Proceedings of the 102nd IEEE Vehicular Technology Conference, 2025
Submodular Optimization Based Co-Inference in Space-Air-Ground Integrated Vehicular Networks.
Proceedings of the 36th IEEE International Symposium on Personal, 2025
2024
Joint Contract Design and Task Reorganization for Semi-Decentralized Federated Edge Learning in Vehicular Networks.
IEEE Trans. Veh. Technol., July, 2024
Client Scheduling for Multiserver Federated Learning in Industrial IoT With Unreliable Communications.
IEEE Internet Things J., May, 2024
Long-Term Energy Management Empowered Hierarchical Federated Learning for Smart Consumer Electronics.
IEEE Trans. Consumer Electron., February, 2024
Clustered Federated Learning in Internet of Things: Convergence Analysis and Resource Optimization.
IEEE Internet Things J., January, 2024
Edge aggregation placement for semi-decentralized federated learning in Industrial Internet of Things.
Future Gener. Comput. Syst., January, 2024
Fishing Net Optimization: A Learning Scheme of Optimizing Multi-Lateration Stations in Air-Ground Vehicle Networks.
IEEE Signal Process. Lett., 2024
2023
Similarity-aware Contract Design for Multi-task Federated Learning in Vehicular Networks.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
Privacy-Preserving Federated Learning Framework via Blockchain and Committee Mechanism.
Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023
2022
IEEE Trans. Veh. Technol., 2022
Optimization of Clustering Strategy and Resource Allocation for Clustered Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022
2021
IEEE Wirel. Commun. Lett., 2021
Deep Reinforcement Learning for Task Offloading in Edge Computing Assisted Power IoT.
IEEE Access, 2021
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021
2019
An Efficient Indoor Localization Method Based on the Long Short-Term Memory Recurrent Neuron Network.
IEEE Access, 2019
Proceedings of the Wireless and Satellite Systems, 2019