Federated machine learning promises to overcome the input privacy challenge in machine
learning. By iteratively updating a model on private clients and aggregating these local …

Abstract Internet of Things (IoT) systems are becoming ubiquitous, and their spread has had
a significant impact on all aspects of society. Software is a key aspect of IoT systems, from …

Adapting to dynamic environments is essential for artificial agents, especially those aiming
to communicate with people interactively. In this context, a social robot that adapts its …

Internet of Things (IoT) systems are complex systems that can manage mission-critical,
costly operations or the collection, storage, and processing of sensitive data. Therefore …

The Internet of Things (IoT) realized exponential growth of smart devices with decent
capabilities, promising an era of Edge Intelligence. This paradigm creates a timely need to …

Cognitive computing is the capability of a system to mimic the ability of human brain to learn
and adapt from the surroundings. Cognitive systems have decision-making capabilities …

Remote health monitoring is a trend for better health management which necessitates the
need for secure monitoring and privacy-preservation of patient data. Moreover, accurate and …

Federated learning (FL) enables edge nodes to collaboratively contribute to constructing a
global model without sharing their data. This is accomplished by devices computing local …

The COVID‐19 pandemic has threatened the lives of many people, especially the elderly
and those with chronic illnesses, as well as threatening the global economy. In response to …

Abstract Internet of Things (IoT) systems are often complex and have to deal with many
challenges at the same time, both from a human and technical perspective. In this vision …