CSFM is a large-scale, multi-modal foundation model developed for decoding cardiac sensing biosignals such as ECG and PPG. Trained with self-supervised learning on data from 1.7 million individuals, ...

COVERT: private, communication-efficient vertical federated block-term tensor regression on clinical multi-view data (imaging, ECG, labs), at parity with centralized while transmitting only a ...