Background/aims Posterior capsule opacification (PCO) is the most frequent long-term complication after cataract surgery, ...
Abstract: Gradient leakage attacks pose significant privacy risks in federated learning by exploiting transmitted gradients to reconstruct sensitive data. While existing defense mechanisms typically ...
Abstract: In recent years, split learning (SL) has emerged as a promising distributed learning framework that can utilize Big Data in parallel without privacy leakage while reducing client-side ...
Early and accurate identification of mild cognitive impairment (MCI) is crucial for timely intervention and preventing further cognitive decline. Functional near-infrared spectroscopy (fNIRS) is a non ...
Trained for 16 epochs on 115,241 fundus images across three clinical datasets. Performance is consistent with published research on this task, a 5-class DR grading on real clinical data is an ...