Edge AI: Revolutionizing Local Data Processing and Intelligent Decision-Making

Edge AI: Revolutionizing Local Data Processing and Intelligent Decision-Making

In simple terms, Edge AI allows devices to process information and make intelligent decisions “on-site” without sending all data to a distant cloud for analysis. Features like facial recognition on your phone and voice activation on smart speakers are examples of its underlying functionality. Compared to traditional cloud-based AI, its greatest advantages are speed (low … Read more

Model Similarity Based Clustering Federated Learning in Edge Computing

Model Similarity Based Clustering Federated Learning in Edge Computing

Original Information Paper Title:Model Similarity Based Clustering Federated Learning in Edge Computing Accepted Conference:EAI CollaborateCom 2024 (CCF C) Author List 1) Liu Xiaoyan, China University (Beijing), School of Artificial Intelligence, PhD student of 2023 2) Huang Jiwei, China University (Beijing), School of Artificial Intelligence, Professor 3) Chen Ying, Beijing Information Science and Technology University, School … Read more

Introduction to Computing and Networking Convergence

Introduction to Computing and Networking Convergence

Computing, as the cornerstone of information processing, plays a crucial role in the digital service era. The “network” and “computing” are traditionally used for information transmission and processing, respectively, belonging to different stakeholders and evolving independently. Recently, the trend of collaboration and convergence between networks and computing has gained widespread attention from both industry and … Read more

Mobile Edge Distributed Learning for Intelligent Communication

Mobile Edge Distributed Learning for Intelligent Communication

Table of Contents | 2023 Issue 6 Special Topic: AI-Based Wireless Communication Technology AI-Empowered Intelligent Surface-Assisted Communication Beam Prediction Interference-Resistant Technology for Intelligent Wireless Communication Aimed at Digital Twins Exploration of Knowledge-Enabled Inherent Intelligent Architecture in Wireless Networks Overview of Semantic Communication Systems for Extended Reality AI-Assisted Scalable Video Semantic Communication Systems End-to-End Service Framework … Read more

Energy-Efficient Strategies for Federated Learning in Mobile Edge Computing

Energy-Efficient Strategies for Federated Learning in Mobile Edge Computing

Content IntroductionAbstract:With the rapid development of fifth-generation network technology and the Internet of Things, the number of end-user devices and various applications is surging, resulting in a massive amount of data generated at the network edge. To efficiently process this data, innovative mobile edge computing frameworks have emerged to achieve low latency and efficient computing … Read more

The Popularization of Edge AI Technology: Your Smartwatch Processes Health Data Locally Instead of Uploading to the Cloud

The Popularization of Edge AI Technology: Your Smartwatch Processes Health Data Locally Instead of Uploading to the Cloud

At three in the morning, your smartwatch suddenly vibrates—not as an alarm, but as a warning for abnormal heart rate. This small device independently completes the entire process from data collection to risk assessment without being connected to the internet. This is the magic of Edge AI—bringing AI down from the cloud to the terminal … Read more

Edge AI: The Intelligent Revolution from Cloud to Reality

Edge AI: The Intelligent Revolution from Cloud to Reality

Artificial intelligence technology has long relied on powerful cloud computing. However, recently we have begun to raise the question: “Why has Edge AI only started to receive such attention now?” Upon careful consideration, the reasons are actually quite clear. For fields such as autonomous driving or smart factories that require immediate on-site decision-making, even a … Read more

Research Hotspots in Edge Computing

Research Hotspots in Edge Computing

Currently, searching for “edge computing” on Google Scholar yields 3,830,000 records, indicating the rapid development of edge computing. This article primarily combines the research and exploration conducted by the Huawei Edge Cloud Innovation Lab over the past two years to survey the academic community, attempting to present a comprehensive view of the academic research landscape … Read more

Research on Resource Allocation Methods for Industrial IoT Based on Federated Learning

Research on Resource Allocation Methods for Industrial IoT Based on Federated Learning

With the development of the Industrial Internet of Things (IIoT), massive industrial data is generated, urgently driving the application of Artificial Intelligence (AI) to fully unleash the potential of industrial data and enhance industrial service capabilities. Traditional centralized Machine Learning (ML) model training methods require devices to upload all their raw data, which raises privacy … Read more

PLC Intelligent Algorithms: The Application of Federated Learning Technology Balancing Data Privacy and Model Performance!

PLC Intelligent Algorithms: The Application of Federated Learning Technology Balancing Data Privacy and Model Performance!

PLC Intelligent Algorithms: The Application of Federated Learning Technology Balancing Data Privacy and Model Performance! Introduction Hello everyone! Today I want to share with you a **new technology that will impress the industrial automation field — PLC Federated Learning Algorithm. Don’t worry, I will explain this seemingly “black technology” concept in the simplest terms.Mastering this … Read more