most citedDigital Twin in Industries: A Comprehensive Survey

2 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2025

Latency-aware Multimodal Federated Learning over UAV Networks

Shaba Shaon, Dinh C. Nguyen

This paper investigates federated multimodal learning (FML) assisted by unmanned aerial vehicles (UAVs) with a focus on minimizing system latency and providing convergence analysis…

cs.NI2025

Empowering AI-Native 6G Wireless Networks with Quantum Federated Learning

Shaba Shaon, Md Raihan Uddin, Dinh C. Nguyen +3

AI-native 6G networks are envisioned to tightly embed artificial intelligence (AI) into the wireless ecosystem, enabling real-time, personalized, and privacy-preserving intelligenc…

quant-ph2025

Differentially Private Federated Quantum Learning via Quantum Noise

Atit Pokharel, Ratun Rahman, Shaba Shaon +2

Quantum federated learning (QFL) enables collaborative training of quantum machine learning (QML) models across distributed quantum devices without raw data exchange. However, QFL…

cs.NI2025

Latency Optimization for Wireless Federated Learning in Multihop Networks

Shaba Shaon, Van-Dinh Nguyen, Dinh C. Nguyen

In this paper, we study a novel latency minimization problem in wireless federated learning (FL) across multi-hop networks. The system comprises multiple routes, each integrating l…

cs.AI20242 cited

Digital Twin in Industries: A Comprehensive Survey

Md Bokhtiar Al Zami, Shaba Shaon, Vu Khanh Quy +1

Industrial networks are undergoing rapid transformation driven by the convergence of emerging technologies that are revolutionizing conventional workflows, enhancing operational ef…

cs.LG2024

Federated Split Learning for Human Activity Recognition with Differential Privacy

Josue Ndeko, Shaba Shaon, Aubrey Beal +2

This paper proposes a novel intelligent human activity recognition (HAR) framework based on a new design of Federated Split Learning (FSL) with Differential Privacy (DP) over edge…