10 citations · 11 across the 8 of their papers we have counts for
9 papers
Rethinking Structured Generation: Can Graph-Based Reasoning Resolve Ambiguity?
Ratun Rahman, Atit Pokharel
Structured generation is typically formulated as a deterministic mapping from input to a single structured output. This assumption is fundamentally misaligned with natural language…
Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security Design
Atit Pokharel, Shaba Shaon, Thomas Morris +1
Distributed quantum learning (DQL) has emerged as a promising paradigm to scale quantum-enhanced machine learning by interconnecting multiple quantum devices. However, for efficien…
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…
SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization
Ratun Rahman, Atit Pokharel, Md Raihan Uddin +1
Quantum federated learning (QFL) is an emerging field that has the potential to revolutionize computation by taking advantage of quantum physics concepts in a distributed machine l…
Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
Ratun Rahman, Atit Pokharel, Dinh C. Nguyen
Quantum Federated Learning (QFL) is an emerging paradigm that combines quantum computing and federated learning (FL) to enable decentralized model training while maintaining data p…
Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach
Atit Pokharel, Ratun Rahman, Thomas Morris +1
Quantum federated learning (QFL) has been recently introduced to enable a distributed privacy-preserving quantum machine learning (QML) model training across quantum processors (cl…
Electrocardiogram (ECG) Based Cardiac Arrhythmia Detection and Classification using Machine Learning Algorithms
Atit Pokharel, Shashank Dahal, Pratik Sapkota +1
The rapid advancements in Artificial Intelligence, specifically Machine Learning (ML) and Deep Learning (DL), have opened new prospects in medical sciences for improved diagnosis,…
Microcontroller-Driven MPPT System for Enhanced Photovoltaic Efficiency: An Experimental Approach in Nepal
Diwakar Khadka, Satish Adhikari, Atit Pokharel +2
Solar energy utilization in places like Nepal, is often obstructed by unpredicted environmental factors and existing technological barriers. The challenges encountered often result…
Performance Evaluation of LoRa Technology for Rural Connectivity: An Experimental Analysis in Nepal
Atit Pokharel, Pratik Sapkota, Dilip Sapkota +3
LoRa technology has garnered significant interest in the Information and Communications Technology (ICT) field in recent years due to its ability to operate at low power while main…