Nature

Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models

This study focused on comparing distributed learning models with centralized and local models, assessing their efficacy in predicting specific delivery and patient-related outcomes in obstetrics using ...
Nature

Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals

Quality improvement, clinical research, and patient care can be supported by medical predictive analytics. Predictive models can be improved by integrating more patient records from different ...
Law

Can the Distributed Law Firm Model Still Work?: The Morning Minute

MODIFYING THE MODEL - Despite departures by leaders at FisherBroyles and expected additional exits at the Am Law 200′s first distributed firm, the low-overhead, partner-autonomy model for legal ...
Forbes

The Rise Of Distributed Data Centers In The AI Era

AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...