4 papers
Dual Attention Heads for Personalized Federated Learning in ECG Classification
Kien Le, Joseph Lindley, Quoc Bao Phan +1
Federated learning (FL) enables collaborative model training across institutions without sharing sensitive patient data. However, the inherent heterogeneity of electrocardiogram (E…
Entropy-Guided Tensor Compression for Multimodal Federated Learning on Edge Devices
Quoc Bao Phan, Tuy Tan Nguyen
Federated learning (FL) over mobile and edge devices increasingly involves multimodal models in which clients differ in both sensing capability and computational capacity. Existing…
QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition
Quoc Bao Phan, Tuy Tan Nguyen
Federated learning (FL) enables collaborative model training across distributed devices without sharing raw data, making it suitable for privacy-sensitive robotic sensing applicati…
When Quantum Federated Learning Meets Blockchain in 6G Networks
Dinh C. Nguyen, Md Bokhtiar Al Zami, Ratun Rahman +3
Quantum federated learning (QFL) is emerging as a key enabler for intelligent, secure, and privacy-preserving model training in next-generation 6G networks. By leveraging the compu…