The problem of Byzantine resilience in distributed machine learning, aka Byzantine machine
learning, consists of designing distributed algorithms that can train an accurate model …

Abstract The Internet of Things (IoT) consists of heterogeneous devices such as wearables
and monitoring devices that collect data to provide autonomous decision-making and smart …

In the era of the Internet and the Internet of Things, display technology has evolved
significantly toward full‐scene display and realistic display. Incorporating “intelligence” into …

Computing paradigms have evolved significantly in recent decades, moving from large room-
sized resources (processors and memory) to incredibly small computing nodes. Recently …

Efforts to create a sustainable hydrogen economy are gaining momentum as governments
all over the world are investing in hydrogen production, storage, distribution, and delivery …

Machine Learning Operations (MLOps) is an approach to managing the entire lifecycle of a
machine learning model. It has evolved over the last years and has started attracting many …

The Message Queuing Telemetry Transport (MQTT) protocol stands out as one of the
foremost and widely recognized messaging protocols in the field. It is often used to transfer …

In recent years, the increase in the use of services in cloud, fog, edge, and IoT ecosystems
has been very notable. On the one hand, environmental sustainability is affected by this type …

Mixed-potential electrochemical sensor arrays consisting of indium tin oxide (ITO), La 0.87
Sr 0.13 CrO 3, Au, and Pt electrodes can detect the leaks from natural gas infrastructure …

The onset of cloud computing brought with it an adoption of containerization—a lightweight
form of virtualization, which provides an easy way of develo** and deploying solutions …