43 citations · 51 across the 5 of their papers we have counts for
6 papers · 1 filter
Proportional-Fair Resource Allocation and Dual-Threshold Early-Exit Inference for Secure Cooperative Multi-Layer Edge Intelligence
Thai T. Vu, John Le, Tu N. Nguyen +3
This paper proposes FREDI (Fair Resource Allocation for Edge Dual-Threshold Inference), a secure wireless edge-intelligence framework for event-triggered inference in a cooperative…
Quantum Machine Learning for Secure Cooperative Multi-Layer Edge AI with Proportional Fairness
Thai T. Vu, John Le
This paper proposes a communication-efficient, event-triggered inference framework for cooperative edge AI systems comprising multiple user devices and edge servers. Building upon…
Energy-based Proportional Fairness in Cooperative Edge Computing
Thai T. Vu, Dinh Thai Hoang, Khoa T. Phan +2
By executing offloaded tasks from mobile users, edge computing augments mobile user equipments (UEs) with computing/communications resources from edge nodes (ENs), enabling new ser…
Optimal Energy Efficiency with Delay Constraints for Multi-layer Cooperative Fog Computing Networks
Thai T. Vu, Diep N. Nguyen, Dinh Thai Hoang +2
We develop a joint offloading and resource allocation framework for a multi-layer cooperative fog computing network, aiming to minimize the total energy consumption of multiple mob…
2D Proactive Uplink Resource Allocation Algorithm for Event Based MTC Applications
Thai T. Vu, Diep N. Nguyen, Eryk Dutkiewicz
We propose a two dimension (2D) proactive uplink resource allocation (2D-PURA) algorithm that aims to reduce the delay/latency in event-based machine-type communications (MTC) appl…
Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks
Thai T. Vu, Nguyen Van Huynh, Dinh Thai Hoang +2
We propose a novel edge computing network architecture that enables edge nodes to cooperate in sharing computing and radio resources to minimize the total energy consumption of mob…