Dear Colleagues,

IoT and machine learning are two of the most exciting disciplines in technology today because of their profound impact on both businesses and individuals. Millions of small devices are already embedded in factories, cities, vehicles, phones, and our homes, collecting the information needed for intelligent decision making in areas such as industrial process optimization, predictive maintenance in buildings, people's mobility, home energy management, and more.

The focus of most of these applications is to gather information from the environment and transmit it over the Internet to powerful remote servers where intelligence and decision making resides. However, applications such as self-driving cars are critical and require accurate real-time responses.

To alleviate some of the above problems, edge computing has emerged, changing the way data is processed, improving response times, and addressing the connectivity, scalability, and security issues inherent to remote servers. Hybrid approaches have also emerged, with the goal of maximizing the benefits of edge and cloud.

All of these technologies are usually integrated in a hybrid architecture, which allows defined agents to perform the tasks assigned to them in a coordinated manner, each working independently and fulfilling the different needs that may arise without surveillance.

This Special Issue invites researchers to submit original quality studies regarding the technologies in the domains of IoT and machine learning, as well as their integration in hybrid architectures, and urges them to address the main subdisciplines, which include, but are not limited to, the following:

• Edge computing;
• Edge artificial intelligence;
• Hybrid edge computing models;
• Federated learning;
• Machine and deep learning agent architectures;
• Distributed problem solving;
• Agent-based simulation;
• Multi-agent systems (MAS);
• Virtual agent organizations (VAO);
• IoT and MAS;
• IoT, smart cities, Industry 4.0;
• Ambient intelligence.

Dr. Fernando De la Prieta Pintado
Dr. Vicente Julian Inglada
Prof. Dr. Sascha Ossowski
Dr. José Machado
Guest Editors

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• edge computing
• artificial intelligence
• federated learning
• multi-agent systems
• IoT
• ambient intelligence