Bo Xu

Orcid: 0000-0003-4147-0263

Affiliations:
  • Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Wireless Communications, China


According to our database1, Bo Xu authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

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

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

Client Scheduling for Unreliable Semi-Decentralized Federated Learning.
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
Adaptive Hierarchical Federated Learning Over Wireless Networks.
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
Online Client Scheduling for Fast Federated Learning.
IEEE Wirel. Commun. Lett., 2021

Deep Reinforcement Learning for Task Offloading in Edge Computing Assisted Power IoT.
IEEE Access, 2021

Dynamic Client Association for Energy-Aware Hierarchical Federated Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Optimized Edge Aggregation for Hierarchical Federated Learning.
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

RSSI-Fading-Based Localization Approach in BLE5.0 Indoor Environments.
Proceedings of the Wireless and Satellite Systems, 2019


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