5 papers
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…
Adaptive Entanglement Generation for Quantum Routing
Tasdiqul Islam, Md Arifuzzaman, Engin Arslan
Entanglement generation in long-distance quantum networks is a difficult process due to resource limitations and the probabilistic nature of entanglement swapping. To maximize succ…