23 citations · 31 across the 12 of their papers we have counts for
12 papers
Trust Region Bayesian Optimization of Annealing Schedules on a Quantum Annealer
Seon-Geun Jeong, Mai Dinh Cong, Minh-Duong Nguyen +3
Quantum annealing (QA) is a practical model of adiabatic quantum computation, already realized on hardware and considered promising for combinatorial optimization. However, its per…
Communication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank Adaptation
Le-Tuan Nguyen, Minh-Duong Nguyen, Seon-Geun Jeong +2
With the rapid emergence of foundation models and the increasing need for fine-tuning across distributed environments, Federated Low-Rank Adaptation (FedLoRA) has recently gained s…
Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning
Duc-Thien Phan, Minh-Duong Nguyen, Quoc-Viet Pham +1
Upon integrating Quantum Neural Network (QNN) as the local model, Quantum Federated Learning (QFL) has recently confronted notable challenges. Firstly, exploration is hindered over…
Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
Minh-Duong Nguyen, Quoc-Viet Pham, Nguyen H. Tran +3
In this study, we design a low-complexity and generalized AI model that can capture common knowledge to improve data reconstruction of the channel decoder for semantic communicatio…
Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
Minh-Duong Nguyen, Le-Tuan Nguyen, Quoc-Viet Pham
Federated Continual Learning (FCL) has recently emerged as a crucial research area, as data from distributed clients typically arrives as a stream, requiring sequential learning. T…
Multi-Agent Collaboration Mechanisms: A Survey of LLMs
Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen +3
With recent advances in Large Language Models (LLMs), Agentic AI has become phenomenal in real-world applications, moving toward multiple LLM-based agents to perceive, learn, reaso…