As societal needs evolve, especially with the advent of demanding applications like remote
surgeries in Smart Health, current communication systems struggle to meet the required …

Edge computing, artificial intelligence (AI), and machine learning (ML) concepts have
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …

Abstract The Internet of vehicles (IoV) has appeared as an effective method of obtaining an
intelligent transportation system able to deliver various innovative solutions and enable …

Purpose Big data challenges and opportunities on the Internet of Vehicles (IoV) have
emerged as a transformative paradigm to change intelligent transportation systems. With the …

The emergence of the Internet of Things (IoT) has enabled the proliferation of interconnected
devices and sensors, generating vast amounts of often complex and unstructured data …

Examining the particular value of each platform for big data would be difficult because of the
variety of social media forms and sizes. Using social media to objectively and subjectively …

This chapter comprehensively surveys the six aspects of the 5G and future 6G internet of
things (IoT). First, most of the 5G-and 6G-IoT usage scenarios and key performance …

Asynchronous federated learning (AsynFL) can effectively mitigate the impact of
heterogeneity of edge nodes on joint training while satisfying participant user privacy …

Due to the need for massive device connectivity, low communication latency, and various
customizations in 6G architecture, a distributed cloud deployment approach will be more …

Summary Edge AI and Federated Learning (FL) have emerged as breakthrough
technologies as a result of the rapid growth of Artificial Intelligence (AI) and Machine …