The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …

Federated learning is an emerging distributed machine learning framework for privacy
preservation. However, models trained in federated learning usually have worse …

This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on enabling software and hardware platforms, protocols, real-life applications and use …

Federated learning (FL) is a rapidly growing research field in machine learning. However,
existing FL libraries cannot adequately support diverse algorithmic development; …

Existing localization methods that intensively leverage the environment-specific received
signal strength (RSS) or channel state information (CSI) of wireless signals are rather …

This article provides a literature review of state-of-the-art machine learning (ML) algorithms
for disaster and pandemic management. Most nations are concerned about disasters and …

Federated learning-based automotive navigation has recently received considerable
attention, as it can potentially address the issue of weak global positioning system (GPS) …

This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …

Nowadays, data privacy is an important consideration in machine learning. This paper
provides an overview of how Federated Learning can be used to improve data security and …