4 papers · 1 filter
HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning
Osama Abu Hamdan, Rabin Pandey, Hao Che +2
Cross-silo Federated Learning (FL) enables geographically distributed institutions to collaboratively train machine learning models without sharing raw data. In wide-area deploymen…
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…
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…