4 papers · 1 filter
RFPrompt: Prompt-Based Expert Adaptation of the Large Wireless Model for Modulation Classification
Md Raihan Uddin, Tolunay Seyfi, Fatemeh Afghah
Automatic modulation classification (AMC) in real-world deployments demands robustness to distribution shifts arising from hardware impairments, unseen propagation environments, an…
Quantum Federated Learning: A Comprehensive Survey
Dinh C. Nguyen, Md Raihan Uddin, Shaba Shaon +3
Quantum federated learning (QFL) is a combination of distributed quantum computing and federated machine learning, integrating the strengths of both to enable privacy-preserving de…
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
Md Raihan Uddin, Ratun Rahman, Dinh C. Nguyen
Smart metering networks are increasingly susceptible to cyber threats, where false data injection (FDI) appears as a critical attack. Data-driven-based machine learning (ML) method…
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
Vu Khanh Quy, Nguyen Minh Quy, Tran Thi Hoai +6
6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks. As a core partition of future 6G networks, Spa…