SmartEdge 2020 - 4th International Workshop on Smart Edge Computing and Networking

We are approaching a fundamental shift in the computational era as the number of connected smart devices and Internet of Things (IoT) devices (e.g., smartphones, tablets, smart watches, smart glasses, smart meters, connected vehicles, etc.) are expected to exceed several billions in the next few years. Recent studies show that it is expected that the amount of data generated at the edge of the Internet by smart and IoT devices will be vast, incredibly rich, extremely valuable, and becoming the key enabler for data-rich edge systems and applications in several smart computing domains like smart homes, connected health, and smart cities. Therefore, it becomes very obvious that it's far more efficient and practical to manage and process data as close to its source as possible (the edge of the Internet) instead of a massive and centralized traditional storage (the cloud).
Moreover, in recent years, the world has seen many major breakthroughs in the machine learning (ML) and artificial intelligence (AI) research. By integrating the advances in smart devices and edge systems with the advances in machine learning, the future role of smart edge systems, networks, and applications is becoming limitless and it's expected to revolutionize the future of the world within the next few years. This is especially important as edge systems generate ever-growing and evolving collections of data, calling for dedicated ML/AI techniques capable of handling streaming and lifelong learning problems.
SmartEdge'20 aims at bringing together experts from several research communities spanning pervasive & mobile computing, wireless networks, embedded systems, Internet of Things, machine learning, big data, and data analytics to discuss data needs and interests, challenges to be addressed, tools to be developed, and new research problems on edge wireless infrastructure, edge mobile systems, rich set data accessed or generated by edge devices and the Internet of Things. Papers describing prototype implementations of edge applications and systems are particularly welcome.