Secure smart communication efficiency in federated learning: Achievements and challenges
Federated learning (FL) is known to perform machine learning tasks in a distributed manner.
Over the years, this has become an emerging technology, especially with various data …
Over the years, this has become an emerging technology, especially with various data …
6G communication: A vision on the potential applications
Abstract 6G communication technology is a revolutionary technology that will revolutionize
many technologies and applications. It will be true artificial intelligence (AI)-driven and will …
many technologies and applications. It will be true artificial intelligence (AI)-driven and will …
Over-the-air decentralized federated learning
In this paper, we consider decentralized federated learning (FL) over wireless networks,
where over-the-air computation (AirComp) is adopted to facilitate the local model consensus …
where over-the-air computation (AirComp) is adopted to facilitate the local model consensus …
Splitplace: Ai augmented splitting and placement of large-scale neural networks in mobile edge environments
In recent years, deep learning models have become ubiquitous in industry and academia
alike. Deep neural networks can solve some of the most complex pattern-recognition …
alike. Deep neural networks can solve some of the most complex pattern-recognition …
Fast convergence algorithm for analog federated learning
In this paper, we consider federated learning (FL) over a noisy fading multiple access
channel (MAC), where an edge server aggregates the local models transmitted by multiple …
channel (MAC), where an edge server aggregates the local models transmitted by multiple …
Energy-efficient processing and robust wireless cooperative transmission for edge inference
Edge machine learning can deliver low-latency and private artificial intelligent (AI) services
for mobile devices by leveraging computation and storage resources at the network edge …
for mobile devices by leveraging computation and storage resources at the network edge …
Latency-aware task scheduling in software-defined edge and cloud computing with erasure-coded storage systems
The collaborative edge and cloud computing system has emerged as a promising solution to
fulfill the unprecedented high requirements of 5G application scenarios. Due to vendor …
fulfill the unprecedented high requirements of 5G application scenarios. Due to vendor …
Branchy-GNN: A device-edge co-inference framework for efficient point cloud processing
The recent advancements of three-dimensional (3D) data acquisition devices have spurred
a new breed of applications that rely on point cloud data processing. However, processing a …
a new breed of applications that rely on point cloud data processing. However, processing a …
Cooperative task execution for object detection in edge computing: An internet of things application
The development of computer hardware and communications has brought with it many
exciting applications in the Internet of Things. More and more Single Board Computers …
exciting applications in the Internet of Things. More and more Single Board Computers …
Quo vadis industry 4.0? Position, trends, and challenges
Industry 4.0 vision and its mandated digital transformation are radically reshaping the way
business is carried out and the way overall industrial processes and collaborations are …
business is carried out and the way overall industrial processes and collaborations are …