57 citations · 95 across the 51 of their papers we have counts for
9 papers · 2 filters
Black-Box Auditing of Quantum Model: Lifted Differential Privacy with Quantum Canaries
Baobao Song, Shiva Raj Pokhrel, Athanasios V. Vasilakos +2
Quantum machine learning (QML) promises significant computational advantages, yet models trained on sensitive data risk memorizing individual records, creating serious privacy vuln…
Adaptive Aggregation with Two Gains in QFL
S Nanayakkara
Federated learning (FL) deployed over quantum enabled and heterogeneous classical networks faces significant performance degradation due to uneven client quality, stochastic telepo…
Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
Swathi Chandrasekhar, Shiva Raj Pokhrel, Swati Kumari +1
Escalating cyber threats and the high-dimensional complexity of IoT traffic have outpaced classical anomaly detection methods. While deep learning offers improvements, computationa…
Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
Navneet Singh, Shiva Raj Pokhrel
Trajectory forecasting for autonomous driving must deliver accurate, calibrated multi-modal futures under tight compute and latency constraints. We propose a compact hybrid quantum…
New Insights on Unfolding and Fine-tuning Quantum Federated Learning
Shanika Iroshi Nanayakkara, Shiva Raj Pokhrel
Client heterogeneity poses significant challenges to the performance of Quantum Federated Learning (QFL). To overcome these limitations, we propose a new approach leveraging deep u…
Communication Efficient Adaptive Model-Driven Quantum Federated Learning
Dev Gurung, Shiva Raj Pokhrel
Training with huge datasets and a large number of participating devices leads to bottlenecks in federated learning (FL). Furthermore, the challenges of heterogeneity between multip…
LLM-QFL: Distilling Large Language Model for Quantum Federated Learning
Dev Gurung, Shiva Raj Pokhrel
Inspired by the power of large language models (LLMs), our research adapts them to quantum federated learning (QFL) to boost efficiency and performance. We propose a federated fine…
Modeling Feature Maps for Quantum Machine Learning
Navneet Singh, Shiva Raj Pokhrel
Quantum Machine Learning (QML) offers significant potential for complex tasks like genome sequence classification, but quantum noise on Noisy Intermediate-Scale Quantum (NISQ) devi…
Modeling Quantum Machine Learning for Genomic Data Analysis
Navneet Singh, Shiva Raj Pokhrel
Quantum Machine Learning (QML) continues to evolve, unlocking new opportunities for diverse applications. In this study, we investigate and evaluate the applicability of QML models…