57 citations · 95 across the 51 of their papers we have counts for
57 papers
Evaluation of Quantum Machine Learning Models for Network Anomaly Detection
Swathi Chandrasekhar, Shiva Raj Pokhrel
The proliferation of Internet-connected devices has intensified the risk of large-scale network intrusions, necessitating more advanced detection methodologies for the post quantum…
DeepUnfolding_Agent: A Classical_Quantum Adaptive Control API
Shanika Iroshi Nanayakkara, Shiva Raj Pokhrel
Adaptive optimization workflows in machine learning, federated learning, quantum machine learning, and hybrid classical quantum systems often embed controller logic directly inside…
A Stable Aggregation Method for Quantum Federated Learning
Shanika Nanayakkara, Shiva Raj Pokhrel
Quantum federated learning (QFL) enables clients to train quantum neural network (QNN) models without sharing private data. We find that aggregation in QFL is unstable under hetero…
5G ISAC-Based UAV Detection and 3-D Tracking Using Uplink Sounding Reference Signals on an End-to-End O-RAN Simulation Testbed
Arun K. Gurung, Satha K. Sathananthan, Shiva R. Pokhrel
Integrated Sensing and Communication (ISAC) lets cellular infrastructure serve communication users and sense on the same waveform. We present an end-to-end O-RAN simulation testbed…
Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning
Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar Walid
Federated parameter-efficient fine-tuning (PEFT) enables communication-efficient adaptation of large pretrained models on decentralized edge data, but it remains fragile under non-…
A Drift Stable Quantum Federated Learning for Intelligent Services
Shanika Iroshi Nanayakkara, Shiva Raj Pokhrel
Quantum federated learning enables distributed clients to train quantum neural networks without sharing local data, making it promising for privacy-aware intelligent services. Inte…
Small Language Model-based Control for BBR over Low Earth Orbit Satellite Internet
Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua
Low Earth Orbit (LEO) satellite Internet introduces rapid path variability, intermittent capacity shifts, and non-terrestrial delay dynamics that challenge transport-layer congesti…
Unveiling TCP BBR Dominance in Starlink Internet: Experimental Insights and Analysis
Rakshitha De Silva, Shiva Raj Pokhrel, Jonathan Kua
This experimental study delivers a global assessment of Google's Bottleneck Bandwidth and Round-trip propagation time-version 3 (BBR-v3) Congestion Control Algorithm (CCA) over Spa…
HantaWatch: Federated Learning for Hantavirus Genomic Surveillance
Shanika Iroshi Nanayakkara, Shiva Raj Pokhrel
Hantavirus genomic surveillance is limited by the distribution of sequence data, non-IID source heterogeneity, and constrained expert-review capacity. We propose HantaWatch, a fede…
Modeling Quantum Federated Autoencoder for Anomaly Detection in IoT Networks
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
We propose a Quantum Federated Autoencoder for Anomaly Detection, a framework that leverages quantum federated learning for efficient, secure, and distributed processing in IoT net…
Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel
With the rapid growth of interconnected devices, accurately detecting malicious activities in network traffic has become increasingly challenging. Most existing deep learning-based…
In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
Devashish Chaudhary, Sutharshan Rajasegarar, Shiva Raj Pokhrel +2
The rapid expansion of the Internet of Things (IoT) and its integration with backbone networks have heightened the risk of security breaches. Traditional centralized approaches to…
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…
Scaling Trust in Quantum Federated Learning: A Multi-Protocol Privacy Design
Dev Gurung, Shiva Raj Pokhrel
Quantum Federated Learning (QFL) promises to revolutionize distributed machine learning by combining the computational power of quantum devices with collaborative model training. Y…
Quantum Vanguard: Server Optimized Privacy Fortified Federated Intelligence for Future Vehicles
Dev Gurung, Shiva Raj Pokhrel
This work presents vQFL (vehicular Quantum Federated Learning), a new framework that leverages quantum machine learning techniques to tackle key privacy and security issues in auto…
TCP BBR Performance over Wi-Fi~6: AQM Impacts and Cross-Layer Insights
Shyam Kumar Shrestha, Shiva Raj Pokhrel, Jonathan Kua
We evaluate TCP BBRv3 on Wi-Fi 6 home networks under modern AQM schemes using a fully wireless testbed and a simple cross-layer model linking Wi-Fi scheduling, router queueing, and…
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 Wavelet Transformed Quantum Support Vector for Network Intrusion Detection
Swati Kumari, Shiva Raj Pokhrel, Swathi Chandrasekhar +5
Network traffic anomaly detection is a critical cybersecurity challenge requiring robust solutions for complex Internet of Things (IoT) environments. We present a novel hybrid quan…
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…
QuantumShield: Multilayer Fortification for Quantum Federated Learning
Dev Gurung, Shiva Raj Pokhrel
In this paper, we propose a groundbreaking quantum-secure federated learning (QFL) framework designed to safeguard distributed learning systems against the emerging threat of quant…
Adapting Quantum Machine Learning for Energy Dissociation of Bonds
Swathi Chandrasekhar, Shiva Raj Pokhrel, Navneet Singh
Accurate prediction of bond dissociation energies (BDEs) underpins mechanistic insight and the rational design of molecules and materials. We present a systematic, reproducible ben…
orb-QFL: Orbital Quantum Federated Learning
Dev Gurung, Shiva Raj Pokhrel
Recent breakthroughs in quantum computing present transformative opportunities for advancing Federated Learning (FL), particularly in non-terrestrial environments characterized by…
sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites
Dev Gurung, Shiva Raj Pokhrel
Low Earth orbit (LEO) constellations violate core assumptions of standard (quantum) federated learning (FL): client-server connectivity is intermittent, participation is time varyi…