Mobile Edge Computing

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  • Publisher : Springer Nature
  • Release : 01 October 2021
  • ISBN : 9783030839444
  • Page : 113 pages
  • Rating : 4.5/5 from 103 voters

Download Mobile Edge Computing in PDF, Epub and Kindle

This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.

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Mobile Edge Computing

Mobile Edge Computing
  • Author : Yan Zhang
  • Publisher : Springer Nature
  • Release Date : 2021-10-01
  • ISBN : 9783030839444
GET THIS BOOKMobile Edge Computing

This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and

Mobile Edge Artificial Intelligence

Mobile Edge Artificial Intelligence
  • Author : Yuanming Shi,Kai Yang,Zhanpeng Yang,Yong Zhou
  • Publisher : Academic Press
  • Release Date : 2021-08-07
  • ISBN : 9780128238356
GET THIS BOOKMobile Edge Artificial Intelligence

Mobile Edge Artificial Intelligence: Opportunities and Challenges presents recent advances in wireless technologies and nonconvex optimization techniques for designing efficient edge AI systems. The book includes comprehensive coverage on modeling, algorithm design and theoretical analysis. Through typical examples, the powerfulness of this set of systems and algorithms is demonstrated, along with their abilities to make low-latency, reliable and private intelligent decisions at network edge. With the availability of massive datasets, high performance computing platforms, sophisticated algorithms and software toolkits, AI

Federated Learning

Federated Learning
  • Author : Qiang Yang,Lixin Fan,Han Yu
  • Publisher : Springer Nature
  • Release Date : 2020-11-25
  • ISBN : 9783030630768
GET THIS BOOKFederated Learning

This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data

Practical Deep Learning for Cloud, Mobile, and Edge

Practical Deep Learning for Cloud, Mobile, and Edge
  • Author : Anirudh Koul,Siddha Ganju,Meher Kasam
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2019-10-14
  • ISBN : 9781492034810
GET THIS BOOKPractical Deep Learning for Cloud, Mobile, and Edge

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju,

Edge AI

Edge AI
  • Author : Xiaofei Wang,Yiwen Han,Victor C. M. Leung,Dusit Niyato,Xueqiang Yan,Xu Chen
  • Publisher : Springer Nature
  • Release Date : 2020-08-31
  • ISBN : 9789811561863
GET THIS BOOKEdge AI

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and

TinyML

TinyML
  • Author : Pete Warden,Daniel Situnayake
  • Publisher : O'Reilly Media
  • Release Date : 2019-12-16
  • ISBN : 9781492052012
GET THIS BOOKTinyML

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who

Edge Intelligence in the Making

Edge Intelligence in the Making
  • Author : Sen Lin,Zhi Zhou,Zhaofeng Zhang,Xu Chen,Junshan Zhang
  • Publisher : Springer Nature
  • Release Date : 2022-06-01
  • ISBN : 9783031023804
GET THIS BOOKEdge Intelligence in the Making

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of

Mobile Edge Computing

Mobile Edge Computing
  • Author : Anwesha Mukherjee
  • Publisher : Springer Nature
  • Release Date : 2022-10-04
  • ISBN : 9783030698935
GET THIS BOOKMobile Edge Computing

Artificial Intelligence and Security

Artificial Intelligence and Security
  • Author : Xingming Sun,Xiaorui Zhang,Zhihua Xia,Elisa Bertino
  • Publisher : Springer Nature
  • Release Date : 2022-07-04
  • ISBN : 9783031067914
GET THIS BOOKArtificial Intelligence and Security

This three-volume set LNCS 13338-13340 constitutes the thoroughly refereed proceedings of the 8th International Conference on Artificial Intelligence and Security, ICAIS 2022, which was held in Qinghai, China, in July 2022. The total of 166 papers included in the 3 volumes were carefully reviewed and selected from 1124 submissions. The papers present research, development, and applications in the fields of artificial intelligence and information security

Artificial Intelligence for Communications and Networks

Artificial Intelligence for Communications and Networks
  • Author : Shuai Han,Liang Ye,Weixiao Meng
  • Publisher : Springer
  • Release Date : 2019-07-04
  • ISBN : 9783030229719
GET THIS BOOKArtificial Intelligence for Communications and Networks

This two-volume set LNICST 286-287 constitutes the post-conference proceedings of the First EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019, held in Harbin, China, in May 2019. The 93 full papers were carefully reviewed and selected from 152 submissions. The papers are organized in topical sections on artificial intelligence, mobile network, deep learning, machine learning, wireless communication, cognitive radio, internet of things, big data, communication system, pattern recognition, channel model, beamforming, signal processing, 5G, mobile management, resource management, wireless position.

Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT
  • Author : Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
  • Publisher : John Wiley & Sons
  • Release Date : 2021-07-27
  • ISBN : 9781119785804
GET THIS BOOKMachine Learning Approach for Cloud Data Analytics in IoT

In this era of IoT, edge devices generate gigantic data during every fraction of a second. The main aim of these networks is to infer some meaningful information from the collected data. For the same, the huge data is transmitted to the cloud which is highly expensive and time-consuming. Hence, it needs to devise some efficient mechanism to handle this huge data, thus necessitating efficient data handling techniques. Sustainable computing paradigms like cloud and fog are expedient to capably handle

Artificial Intelligence and Machine Learning for EDGE Computing

Artificial Intelligence and Machine Learning for EDGE Computing
  • Author : Rajiv Pandey,Sunil Kumar Khatri,Neeraj Kumar Singh,Parul Verma
  • Publisher : Academic Press
  • Release Date : 2022-05-06
  • ISBN : 9780128240557
GET THIS BOOKArtificial Intelligence and Machine Learning for EDGE Computing

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impacts and works alongside Edge Computing. Sections cover the growing number of devices and applications in diversified domains of industry, including gaming, speech recognition, medical diagnostics, robotics and computer vision and how they are being driven by Big Data, Artificial Intelligence, Machine Learning and distributed computing, may it be Cloud Computing or the evolving Fog and

Machine Learning and Wireless Communications

Machine Learning and Wireless Communications
  • Author : Yonina C. Eldar,Andrea Goldsmith,Deniz Gündüz,H. Vincent Poor
  • Publisher : Cambridge University Press
  • Release Date : 2022-06-30
  • ISBN : 9781108832984
GET THIS BOOKMachine Learning and Wireless Communications

Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.

Advances in the Convergence of Blockchain and Artificial Intelligence

Advances in the Convergence of Blockchain and Artificial Intelligence
  • Author : Tiago M. Fernández-Caramés,Paula Fraga-Lamas
  • Publisher : BoD – Books on Demand
  • Release Date : 2022-01-12
  • ISBN : 9781789840933
GET THIS BOOKAdvances in the Convergence of Blockchain and Artificial Intelligence

Blockchain (BC) and artificial intelligence (AI) are currently two of the hottest computer science topics and their future seems bright. However, their convergence is not straightforward, and more research is needed in both fields. Thus, this book presents some of the latest advances in the convergence of BC and AI, gives useful guidelines for future researchers on how BC can help AI and how AI can become smarter, thanks to the use of BC. This book specifically analyzes the past

Advances in Artificial Intelligence and Security

Advances in Artificial Intelligence and Security
  • Author : Xingming Sun
  • Publisher : Springer Nature
  • Release Date : 2022-10-04
  • ISBN : 9783031067617
GET THIS BOOKAdvances in Artificial Intelligence and Security