Abstract: Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge nodes to collaborate and execute tasks from end devices. Task offloading is a fundamental problem in CEC ...
The next phase of AI infrastructure will not be defined by a single destination called “the cloud” or “the edge.” ...
Meta ( META) had been using Google's Gemini models for tasks such as content moderation and scam detection because they ...
As drones survey forests, robots navigate warehouses and sensors monitor city streets, more of the world’s decision-making is occurring autonomously on the edge—on the small devices that gather ...
2025-07-17 QTCAJOSA: Low-Complexity Joint Offloading and Subchannel Allocation for NTN-Enabled IoMT Alejandro Flores C. et.al. 2507.13242 null 2025-07-17 Energy-Efficient RSMA-enabled Low-altitude MEC ...
With the advancement of technology and the continuous innovation of applications, low-latency applications such as drones, online games and virtual reality are gradually becoming popular demands in ...
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs) are more inclined to offload computing tasks to higher-performance computing servers, thereby solving the ...
This repository contains the Python code for reproducing the decentralized QECO (QoE-Oriented Computation Offloading) algorithm, designed for Mobile Edge Computing (MEC) systems. In the realm of ...
Abstract: In an internet of vehicle (IoV) scenario, vehicular edge computing (VEC) exploits the computing capabilities of the vehicles and roadside unit (RSU) to enhance the task processing ...
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