QFedAgent integrates a variational quantum circuit fusion module into personalized federated learning, reducing fusion parameters from 33K to 72 while reporting 97.7% mean accuracy on subject-based non-IID partitions of the OPPORTUNITY dataset.
Proceedings of the 7th International Conference on Networked Sensing Systems (INSS) , year =
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QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition
QFedAgent integrates a variational quantum circuit fusion module into personalized federated learning, reducing fusion parameters from 33K to 72 while reporting 97.7% mean accuracy on subject-based non-IID partitions of the OPPORTUNITY dataset.