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cs.LG2024
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…
cs.LG2024
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…