Abstract: Federated learning (FL) necessitates that edge devices conduct local training and communicate with a parameter server, resulting in significant energy consumption. A key challenge in ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

A new study published in Nature Communications has shown that in the asymptotic limit, extracting the maximum possible work ...

This study investigated the computational mechanisms linking momentary craving and decision-making in people with moderate to high addiction risk levels for alcohol or cannabis use, uncovering ...

Investigators are developing an artificial intelligence-powered algorithm utilizing retrospective data from 1000 patients to ...