[HTML][HTML] Edge AI: a survey
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …
refers to the practice of doing AI computations near the users at the network's edge, instead …
Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
Anomaly traffic detection based on communication-efficient federated learning in space-air-ground integration network
In this paper, we study the architectures of space-air-ground integration network (SAGIN)
proposed by domestic scientific research institutes, and put forward an collaborative federal …
proposed by domestic scientific research institutes, and put forward an collaborative federal …
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 …
Collaborative and privacy-preserving retired battery sorting for profitable direct recycling via federated machine learning
Unsorted retired batteries with varied cathode materials hinder the adoption of direct
recycling due to their cathode-specific nature. The surge in retired batteries necessitates …
recycling due to their cathode-specific nature. The surge in retired batteries necessitates …
Double-gradient-structured composite aerogels for ultra-high-performance moisture energy harvesting
X Zhang, Z Dai, J Chen, X Chen, X Lin… - Energy & …, 2023 - pubs.rsc.org
Currently, the introduction of a gradient structure in moisture-electricity generators (MEGs)
has been shown to significantly improve their output performance. However, due to the …
has been shown to significantly improve their output performance. However, due to the …
Metal–support interactions in metal oxide-supported atomic, cluster, and nanoparticle catalysis
Supported metal catalysts are essential to a plethora of processes in the chemical industry.
The overall performance of these catalysts depends strongly on the interaction of adsorbates …
The overall performance of these catalysts depends strongly on the interaction of adsorbates …
Decentral and incentivized federated learning frameworks: A systematic literature review
The advent of federated learning (FL) has sparked a new paradigm of parallel and
confidential decentralized machine learning (ML) with the potential of utilizing the …
confidential decentralized machine learning (ML) with the potential of utilizing the …
Environment‐Responsive Therapeutic Platforms for the Treatment of Implant Infection
The application of medical implants has greatly improved the survival rate and life quality of
patients. Nevertheless, in recent years, there are increasing cases of implant dysfunction or …
patients. Nevertheless, in recent years, there are increasing cases of implant dysfunction or …
Plant diversity drives positive microbial associations in the rhizosphere enhancing carbon use efficiency in agricultural soils
LA Domeignoz-Horta, SL Cappelli, R Shrestha… - Nature …, 2024 - nature.com
Expanding and intensifying agriculture has led to a loss of soil carbon. As agroecosystems
cover over 40% of Earth's land surface, they must be part of the solution put in action to …
cover over 40% of Earth's land surface, they must be part of the solution put in action to …