7 papers
Scalable Quantum Key Distribution via GHZ Entanglement and Qubit Reuse
Tasdiqul Islam, Rasman Mubtasim Swargo, Engin Arslan +1
Conventional Quantum Key Distribution (QKD) requires the transmission of qubits proportional to or exceeding the length of the key, as protocols such as BB84 transmit more qubits t…
Elastic Data Transfer Optimization with Hybrid Reinforcement Learning
Rasman Mubtasim Swargo, Md Arifuzzaman
Modern scientific data acquisition generates petabytes of data that must be transferred to geographically distant computing clusters. Conventional tools either rely on preconfigure…
FLEET: A Federated Learning Emulation and Evaluation Testbed for Holistic Research
Osama Abu Hamdan, Hao Che, Engin Arslan +1
Federated Learning (FL) presents a robust paradigm for privacy-preserving, decentralized machine learning. However, a significant gap persists between the theoretical design of FL…
SmartFLow: A Communication-Efficient SDN Framework for Cross-Silo Federated Learning
Osama Abu Hamdan, Hao Che, Engin Arslan +1
Cross-silo Federated Learning (FL) enables multiple institutions to collaboratively train machine learning models while preserving data privacy. In such settings, clients repeatedl…
Modular Architecture for High-Performance and Low Overhead Data Transfers
Rasman Mubtasim Swargo, Engin Arslan, Md Arifuzzaman
High-performance applications necessitate rapid and dependable transfer of massive datasets across geographically dispersed locations. Traditional file transfer tools often suffer…
Adaptive Parallel Downloader for Large Genomic Datasets
Rasman Mubtasim Swargo, Engin Arslan, Md Arifuzzaman
Modern next-generation sequencing (NGS) projects routinely generate terabytes of data, which researchers commonly download from public repositories such as SRA or ENA. Existing dow…