S Sohm, BM Linke, A Klossek - Bertelsmann Stiftung, DE: Gütersloh, 2009 - jb-partners.de
… also service, supplies of spare parts, and training of employees. Furthermore, advising customers with regard to application and process optimization is becoming increasingly important…
… accuracy, a more thoroughanalysis was conducted, and … model-basedfederatedlearning are the three main subtypes. This paper presents a model-basedfederatedlearningmodel to …
… This enables a comprehensiveanalysis of multifactorial risk factors, which would be … the reasons behind model predictions. FederatedLearning: Federatedlearning allows models to be …
… Conclusion The federatedlearning method … models and the adaptive aggregation of global models. The results show that our model is superior to several existing federatedlearning …
… to overcome these issues, and thus has been applied in federatedlearning in many … conceptual model for blockchain-enabled federatedlearningbased on a comprehensivereview of …
… Abstract:Objective Federatedlearning (FL)allows multiple healthcare institutions to collaboratively train a powerful deep learningmodel without compromising data privacy and security (…
于蓓蓓, 龚修林 - Journal of Integrative Medicine, 2011 - jcimjournal.com
… This paper aims to consolidate 6 strategic development modes to reinforce and facilitate the process of TCM globalization through a detailedanalysis of both the present status and …
… , suitable data can be prepared for detailedanalysis on important business decision criteria. … as advanced technology of Russian Federationhealthcare funding, sovereign issue as an …
LY Wong, MPHS Toh, LWC Tham - Journal of diabetes, 2017 - Wiley Online Library
… a complications prevalence rate of 60 % 17 was used in the base year in our Markov model. … Implications for publichealth The model developed for the present study showed that the …