Abstract Social-Internet of Things (S-IoT) fortifies the relationship between computing entities
for efficient utilization of resources. S-IoT accentuates on building convivial circles between …

Fog-cloud computing promises many new vertical service areas beyond simple data
communication, storing, and processing. Among them, distributed deep learning (DDL) …

Internet of Things (IoT) devices and the edge jointly broaden the IoT's sensing capability and
the monitoring scope for various applications. Though accessing sensing data and making …

Collaborative inference has recently emerged as an attractive framework for applying deep
learning to Internet of Things (IoT) applications by splitting a DNN model into several subpart …

Edge-supported Industrial Internet of Things (IIoT) has received remarkable attention
recently since edge computing can not only reduce bandwidth consumption but also …

Recently, IoT has greatly influenced our daily lives through various applications. One of the
most promising application is smart city that leverages IoT devices to manage cities without …

Internet of Things (IoT) is an innovative paradigm envisioned to provide massive
applications that are now part of our daily lives. Millions of smart devices are deployed within …

The fusion of edge computing and artificial intelligence (AI) technology is a key enabler for
the smart Internet of Things (IoT). However, these two emerging paradigms face many …

As a promising data-driven technology, deep learning has been widely employed in a
variety of Internet-of-Things (IoT) applications. Examples include automated navigation …

Nowadays, IoT networks and devices exist in our everyday life, capturing and carrying
unlimited data. However, increasing penetration of connected systems and devices implies …