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08/03/2023
Hierarchical Federated Learning in Wireless Networks: Pruning Tackles Bandwidth Scarcity and System Heterogeneity
While a practical wireless network has many tiers where end users do not...
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10/27/2022
Resource Constrained Vehicular Edge Federated Learning with Highly Mobile Connected Vehicles
This paper proposes a vehicular edge federated learning (VEFL) solution,...
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05/17/2022
Mobility, Communication and Computation Aware Federated Learning for Internet of Vehicles
While privacy concerns entice connected and automated vehicles to incorp...
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02/15/2022
Efficient Content Delivery in Cache-Enabled VEN with Deadline-Constrained Heterogeneous Demands: A User-Centric Approach
Modern connected vehicles (CVs) frequently require diverse types of cont...
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12/31/2020
Vehicular Network Slicing for Reliable Access and Deadline-Constrained Data Offloading: A Multi-Agent On-Device Learning Approach
Efficient data offloading plays a pivotal role in computational-intensiv...
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05/16/2020
User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks
While next-generation wireless communication networks intend leveraging ...
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05/16/2020
Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks
Edge caching is a new paradigm that has been exploited over the past sev...
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03/02/2020
Eco-Vehicular Edge Networks for Connected Transportation: A Decentralized Multi-Agent Reinforcement Learning Approach
This paper introduces an energy-efficient, software-defined vehicular ed...
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02/24/2020