Electrocardiogram (ECG) recordings are sensitive biomedical data, limiting the ability of hospitals and wearable devices to share raw signals for centralized model training. Federated learning addresses this practical privacy constraint by enabling collaborative model training while keeping raw biosignal data at their...
Chun-Hua Lin, Samuel Yen-Chi Chen, Yu-Chao Hsu et al.· 0 citations
Molecular property prediction is central to computational drug discovery, where graph neural networks learn to weight neighboring atomic environments during message passing. Yet it remains unclear how variational quantum circuits alter learned attention behavior in molecular graphs. We introduce an edge-aware variation...
Yu-Cheng Lin, Yu-Chao Hsu, Tai-Yue Li et al.· 0 citations
The potential of RL-selected, classically simulated PQCs as compact surrogates with low OOD error and improved physical consistency are demonstrated, despite imposing no explicit physical constraints, penalty terms, or device-specific equations, on the two evaluated device datasets.
Rushat Rai, Yun-Yuan Wang, Autsada Kakaen et al.· 0 citations
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