43 citations · 51 across the 5 of their papers we have counts for
9 papers
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…
MPE-Adam: Multi-Population Evolutionary Optimization with Adam Refinement for QAOA
Chi Quan Luu, Thai T. Vu, John Le
Parameter optimization is a central bottleneck in variational quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA). The classical optimizer must navigat…
TGHE: Template-based Graph Homomorphic Encryption for Privacy-Preserving GNN Inference in Edge-Cloud Systems
Ngoc Bao Anh Le, Thai T. Vu, John Le +2
Existing homomorphic encryption (HE)-based GNN systems adopt a graph-centric paradigm that couples per-query cost to global graph size, limiting evaluations to at most ~20k nodes a…
RAID: Refusal-Aware and Integrated Decoding for Jailbreaking LLMs
Tuan T. Nguyen, John Le, Thai T. Vu +2
Large language models (LLMs) achieve impressive performance across diverse tasks yet remain vulnerable to jailbreak attacks that bypass safety mechanisms. We present RAID (Refusal-…
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…