Federated Learning (FL) is rapidly gaining popularity as an effective cooperative and
distributed approach, widely used by edge devices, to train machine learning models. Several …

In an ever-increasing number of contexts, it has now become common to use federated
learning (FL) techniques, through which several heterogeneous devices cooperate in a …

An emerging modality, increasingly used by edge devices, to train machine learning models
in a distributed and cooperative way is Federated Learning (FL). It combines an increase in …

Low-power Lossy Wireless Networks (LLWNs) are characterized by constraints in memory,
processing, and power consumption, coupled with an inherently dynamic wireless …

This book sets out to describe how the imagined community is being weakened in the age
of new media. The argument offered here is that the new information and communication …

Blowfish algorithm (BA) is a symmetric block cipher with a 64-bit block size and variable key
lengths from 32 bits up to a maximum of 448 bits. In order to measure the degree of security …

Importance Impaired exercise capacity is a cardinal manifestation of obstructive hypertrophic
cardiomyopathy (HCM). The Phase 3 Trial to Evaluate the Efficacy and Safety of Aficamten …

The knowledge acquisition process is a crucial stage in the technology of expert systems.
However, this process is not well defined. One of the promising structured sources of learning …

Background and study aim: Carvedilol has beneficial effects on splanchnic haemodynamics
following acute and chronic administration in cirrhosis. The aim of this study is to evaluate …

Cancer is one of the leading causes of death worldwide, with almost 10 million cancer-related
deaths worldwide in 2020, so any investigation to prevent or cure this disease is very …