Md. Ferdous Pervej

Orcid: 0000-0002-7893-1505

According to our database1, Md. Ferdous Pervej authored at least 12 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Efficient Content Delivery in User-Centric and Cache-Enabled Vehicular Edge Networks with Deadline-Constrained Heterogeneous Demands.
IEEE Trans. Veh. Technol., January, 2024

Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks.
CoRR, 2024

2023
Resource Constrained Vehicular Edge Federated Learning With Highly Mobile Connected Vehicles.
IEEE J. Sel. Areas Commun., June, 2023

Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks.
CoRR, 2023

Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity.
CoRR, 2023

2022
Efficient Content Delivery in Cache-Enabled VEN with Deadline-Constrained Heterogeneous Demands: A User-Centric Approach.
CoRR, 2022

Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2020
Eco-Vehicular Edge Networks for Connected Transportation: A Decentralized Multi-Agent Reinforcement Learning Approach.
CoRR, 2020

Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Dynamic Power Allocation and Virtual Cell Formation for Throughput-Optimal Vehicular Edge Networks in Highway Transportation.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks.
Proceedings of the IEEE Global Communications Conference, 2020

Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks.
Proceedings of the IEEE Global Communications Conference, 2020


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