Computing in the sky: A survey on intelligent ubiquitous computing for uav-assisted 6g networks and industry 4.0/5.0
Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless …
Energy harvesting in implantable and wearable medical devices for enduring precision healthcare
Modern healthcare is transforming from hospital-centric to individual-centric systems.
Emerging implantable and wearable medical (IWM) devices are integral parts of enabling …
Emerging implantable and wearable medical (IWM) devices are integral parts of enabling …
Green edge AI: A contemporary survey
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
of industries, including consumer electronics, healthcare, and manufacturing, largely due to …
Heterogeneous computation and resource allocation for wireless powered federated edge learning systems
Federated learning (FL) is a popular edge learning approach that utilizes local data and
computing resources of network edge devices to train machine learning (ML) models while …
computing resources of network edge devices to train machine learning (ML) models while …
Energy-efficient federated learning over UAV-enabled wireless powered communications
Since the invention in 2016, federated learning (FL) has been a key concept of artificial
intelligence, in which the data of FL users needs not to be uploaded to the central server …
intelligence, in which the data of FL users needs not to be uploaded to the central server …
Artificial intelligence implication on energy sustainability in Internet of Things: A survey
The massive number of Internet of Things (IoT) devices connected to the Internet is
continuously increasing. The operations of these devices rely on consuming huge amounts …
continuously increasing. The operations of these devices rely on consuming huge amounts …
Privacy‐preserving federated learning cyber‐threat detection for intelligent transport systems with blockchain‐based security
Artificial intelligence (AI) techniques implemented at a large scale in intelligent transport
systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making …
systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making …
Wireless for machine learning: A survey
As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …
Resource constrained vehicular edge federated learning with highly mobile connected vehicles
This paper proposes a vehicular edge federated learning (VEFL) solution, where an edge
server leverages highly mobile connected vehicles'(CVs') onboard central processing units …
server leverages highly mobile connected vehicles'(CVs') onboard central processing units …
Efficient integration of ultra-low power techniques and energy harvesting in self-sufficient devices: A comprehensive overview of current progress and future directions
Compact, energy-efficient, and autonomous wireless sensor nodes offer incredible versatility
for various applications across different environments. Although these devices transmit and …
for various applications across different environments. Although these devices transmit and …