Distributed learning in wireless networks: Recent progress and future challenges
The next-generation of wireless networks will enable many machine learning (ML) tools and
applications to efficiently analyze various types of data collected by edge devices for …
applications to efficiently analyze various types of data collected by edge devices for …
Communication-efficient edge AI: Algorithms and systems
Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields,
ranging from speech processing, image classification to drug discovery. This is driven by the …
ranging from speech processing, image classification to drug discovery. This is driven by the …
Edge intelligence: Paving the last mile of artificial intelligence with edge computing
With the breakthroughs in deep learning, the recent years have witnessed a booming of
artificial intelligence (AI) applications and services, spanning from personal assistant to …
artificial intelligence (AI) applications and services, spanning from personal assistant to …
What is semantic communication? A view on conveying meaning in the era of machine intelligence
In the 1940s, Claude Shannon developed the information theory focusing on quantifying the
maximum data rate that can be supported by a communication channel. Guided by this …
maximum data rate that can be supported by a communication channel. Guided by this …
Edge intelligence: Empowering intelligence to the edge of network
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …
caching, processing, and analysis proximity to where data are captured based on artificial …
Towards edge computing in intelligent manufacturing: Past, present and future
Abstract Industry 4.0 (I4. 0) is the fourth industrial revolution and a synonym for intelligent
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
manufacturing. It drives the convergence of several cutting-edge technologies to provoke …
Energy-efficient edge based real-time healthcare support system
The ubiquitous usage of wearable IoT (wIoT) devices has created a formidable opportunity
for remote health monitoring system to provide paramount services such as preventive care …
for remote health monitoring system to provide paramount services such as preventive care …
Edge AI for Internet of Energy: Challenges and perspectives
The digital landscape of the Internet of Energy (IoE) is on the brink of a revolutionary
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
transformation with the integration of edge Artificial Intelligence (AI). This comprehensive …
Deep compressive offloading: Speeding up neural network inference by trading edge computation for network latency
With recent advances, neural networks have become a crucial building block in intelligent
IoT systems and sensing applications. However, the excessive computational demand …
IoT systems and sensing applications. However, the excessive computational demand …
Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …
Things (IoT) applications and services, spanning from recommendation systems and speech …