The main challenges are discussed together with the lessons learned from past and
ongoing research along the development cycle of machine learning systems. This will be …

Recent efforts have shown that training data is not secured through the generalization and
abstraction of algorithms. This vulnerability to the training data has been expressed through …

Federated Learning is identified as a reliable technique for distributed training of ML models.
Specifically, a set of dispersed nodes may collaborate through a federation in producing a …

Machine Learning (ML) has fascinated researchers and developers to an extent that it has
been now considered as an astute to most of them. To this continuation, ML integrated with …

The fields of information technology (IT) and cybersecurity are becoming more integrated
with the life sciences. This convergence is a fundamental driver in the boom of …