A variety of modern AI products essentially require raw user data for training diverse machine learning models.With the increasing concern on data privacy, federated learning, a decentralized learning framework, enables privacy-preserving training of models by iteratively aggregating model updates from participants, instead of aggregating raw data.

Elderly patients are espcialy at high risk for postoperative complications.This is even more important following hip fracture surgery due to its fragility and comorbidities.Using certain biomarkers may be an interesting way of tackling the question Pinpointers of optimal patient management.In this study we aimed to determine the status of values su

Considering the problem of difficulty in transmission and storage due to a large amount of data in the water-supply network monitoring system based on a wireless sensor network (WSN), we propose a sparse representation of the water-supply network monitoring data by using compressed sensing (CS) method.At the same time, aiming at the problem of low

Laser butt welding of thin metal sheets is a widely used fusion-based joining technique in industrial manufacturing.A comprehensive understanding of the complex transport phenomena during the welding process is essential for achieving high-quality welds.In the present work, high-fidelity numerical simulations are employed to investigate the influen

Sphingolipid metabolism is important to balance the abundance of bioactive lipid molecules involved in cell signaling, neuronal function, and survival.Specifically, the sphingolipid sphingosine mediates cell death signaling, whereas its phosphorylated form, sphingosine-1-phosphate (S1P), mediates cell survival signaling.The enzyme sphingosine kinas