activity
20192026
most citedUnderstand-Before-Talk (UBT): A Semantic Communication Approach to 6G Networks

57 citations · 95 across the 51 of their papers we have counts for

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Showing 2026Show all

12 papers · 1 filter

quant-ph2026

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…

cs.CL2026

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…

cs.AI2026

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…

cs.NI2026

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…

cs.LG2026

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-…

cs.LG2026

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…

cs.NI2026

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…

cs.NI2026

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…

cs.LG2026

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…

quant-ph2026

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…

cs.CR2026

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…

cs.LG2026

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…