The privacy of user data in federated learning is mainly protected by exchanging model parameters instead of source data.However, federated learning still encounters many security challenges.Extensive research has been conducted Left Side Cover to enhance model privacy and detect malicious model attacks.Nevertheless, the issue of risk-spreading thr
Smartphones have enabled the widespread use of mobile applications.However, there are unrecognized defects of mobile applications that can affect businesses due to a negative user experience.To avoid this, the defects of Cards applications should be detected and removed before release.This study aims to develop a defect prediction model for mobile
With the ongoing Covid19 pandemic, the adoption of policies and measures restricting mobility can be observed all saddle western blanket over the world.This paper notes that the relationship between migration and development is circular and complex, embracing both negative and positive impacts.It explores the enactment of migration management polic
A recent study suggested that a cell-free extract of human adipose stem cells (hASCs-E) has beneficial effects on neurological diseases by modulating the host environment.Here, we investigated the effects of hASCs-E in several experimental models of stroke in vitro (oxygen and glucose deprivation, OGD) and in vivo (transient or permanent focal cere