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08/17/2023
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Split learning (SL) has emerged as a promising approach for model traini...
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06/21/2023
Split Learning in 6G Edge Networks
With the proliferation of distributed edge computing resources, the 6G m...
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04/22/2023
Vehicle as a Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities
Smart cities demand resources for rich immersive sensing, ubiquitous com...
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04/14/2023
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative Edge Computing
Multi-access edge computing (MEC) is a promising technology to enhance t...
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03/26/2023
Efficient Parallel Split Learning over Resource-constrained Wireless Edge Networks
The increasingly deeper neural networks hinder the democratization of pr...
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07/21/2022
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer
Given the rapidly changing machine learning environments and expensive d...
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04/18/2022
Actions at the Edge: Jointly Optimizing the Resources in Multi-access Edge Computing
Multi-access edge computing (MEC) is an emerging paradigm that pushes re...
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02/22/2022
From Resource Auction to Service Auction: An Auction Paradigm Shift in Wireless Networks
In 5G and beyond, the newly emerging services, such as edge computing/in...
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05/31/2019
