1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
FMM-Head: Enhancing Autoencoder-based ECG anomaly detection with prior knowledge
Giacomo Verardo, Magnus Boman, Samuel Bruchfeld +4
Detecting anomalies in electrocardiogram data is crucial to identifying deviations from normal heartbeat patterns and providing timely intervention to at-risk patients. Various Aut…
cs.LG2022
Fast Server Learning Rate Tuning for Coded Federated Dropout
Giacomo Verardo, Daniel Barreira, Marco Chiesa +2
In cross-device Federated Learning (FL), clients with low computational power train a common\linebreak[4] machine model by exchanging parameters via updates instead of potentially…