This systematic literature review employs the Preferred Reporting Items for Systematic
Reviews and Meta-Analyses (PRISMA) methodology to investigate recent applications of …

With rising data security concerns, privacy preserving machine learning (ML) methods have
become a key research topic. Federated learning (FL) is one such approach which has …

Background Age-related neurodegenerative diseases are constantly increasing with
prediction that in 2050 over 60% of population will suffer from some level of cognitive …

Planning and allocation of resources in search and rescue operations is critical and
complex. Those tasks require consideration of several factors such as the nature of the …

In this paper our intention was to present a brief literature review focused on the latest
research of the Federated Learning paradigm in order to identify current research trends …

We introduce a one-dimensional (1D) residual convolutional neural network with Partial
Least Squares (1D-ResCNN-PLS) to solve the covariance and nonlinearity problems in …

In contemporary society more people suffer from chronic diseases. They are the leading
cause of death worldwide. On the other hand, the world population is getting older and the …

Federated Learning (FL) is a rather new distributed machine learning paradigm based on a
collaboratively decentralized privacy-preserving technology. It supports a range of multiple …

With the growing popularity of cloud computing, data owners are increasingly opting to
outsource their data to cloud servers due to the numerous benefits it offers. However, this …

Pelatihan Jaringan Komputer untuk Meningkatkan Kompetensi Siswa di SMK Negeri 1
Subuh Situbondo telah dilaksanakan dengan menggunakan pendekatan metode Asset …