57 citations · 95 across the 51 of their papers we have counts for
5 papers · 1 filter
Adapting Large Language Models for Improving TCP Fairness over WiFi
Shyam Kumar Shrestha, Shiva Raj Pokhrel, Jonathan Kua
The new transmission control protocol (TCP) relies on Deep Learning (DL) for prediction and optimization, but requires significant manual effort to design deep neural networks (DNN…
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework
Shiva Raj Pokhrel, Luxing Yang, Sutharshan Rajasegarar +1
This paper introduces a robust zero-trust architecture (ZTA) tailored for the decentralized system that empowers efficient remote work and collaboration within IoT networks. Using…
Analysis, Modeling and Design of Personalized Digital Learning Environment
Sanjaya Khanal, Shiva Raj Pokhrel
This research analyzes, models and develops a novel Digital Learning Environment (DLE) fortified by the innovative Private Learning Intelligence (PLI) framework. The proposed PLI f…
An Independent Implementation of Quantum Machine Learning Algorithms in Qiskit for Genomic Data
Navneet Singh, Shiva Raj Pokhrel
In this paper, we explore the power of Quantum Machine Learning as we extend, implement and evaluate algorithms like Quantum Support Vector Classifier (QSVC), Pegasos-QSVC, Variati…
Quantum Federated Learning Experiments in the Cloud with Data Encoding
Shiva Raj Pokhrel, Naman Yash, Jonathan Kua +2
Quantum Federated Learning (QFL) is an emerging concept that aims to unfold federated learning (FL) over quantum networks, enabling collaborative quantum model training along with…