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Federated Learning for Wireless Networks, Hong Choong Seon, Khan Latif U., Chen Mingzhe


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Цена: 22359.00р.
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Автор: Hong Choong Seon, Khan Latif U., Chen Mingzhe
Название:  Federated Learning for Wireless Networks
ISBN: 9789811649622
Издательство: Springer
Классификация:

ISBN-10: 9811649626
Обложка/Формат: Hardcover
Страницы: 268
Вес: 0.55 кг.
Дата издания: 16.10.2021
Серия: Wireless networks
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 1 illustrations, black and white; xii, 253 p. 1 illus.; 1 illustrations, black and white; xii, 253 p. 1 illus.
Размер: 23.39 x 15.60 x 1.60 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy.


Real-World Wireless Sensor Networks

Автор: Koen Langendoen; Wen Hu; Federico Ferrari; Marco Z
Название: Real-World Wireless Sensor Networks
ISBN: 3319377450 ISBN-13(EAN): 9783319377452
Издательство: Springer
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Цена: 19589.00 р.
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Описание: This edited book presents the results of the 5th Workshop on Real-world Wireless Sensor Networks (REALWSN). The purpose of this workshop was to bring together researchers and practitioners working in the area of sensor networks, with focus on real-world experiments or deployments of wireless sensor networks.

Federated Learning

Автор: Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu
Название: Federated Learning
ISBN: 1681736977 ISBN-13(EAN): 9781681736976
Издательство: Mare Nostrum (Eurospan)
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Цена: 12335.00 р.
Наличие на складе: Нет в наличии.

Описание: How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.

Federated Learning: Privacy and Incentive

Автор: Yang Qiang, Fan Lixin, Yu Han
Название: Federated Learning: Privacy and Incentive
ISBN: 3030630757 ISBN-13(EAN): 9783030630751
Издательство: Springer
Цена: 10480.00 р.
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Описание: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications.

Federated Learning

Автор: Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu
Название: Federated Learning
ISBN: 1681736993 ISBN-13(EAN): 9781681736990
Издательство: Mare Nostrum (Eurospan)
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Цена: 15523.00 р.
Наличие на складе: Нет в наличии.

Описание: How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.

Coordination Models and Languages: 23rd Ifip Wg 6.1 International Conference, Coordination 2021, Held as Part of the 16th International Federated Conf

Автор: Damiani Ferruccio, Dardha Ornela
Название: Coordination Models and Languages: 23rd Ifip Wg 6.1 International Conference, Coordination 2021, Held as Part of the 16th International Federated Conf
ISBN: 3030781410 ISBN-13(EAN): 9783030781415
Издательство: Springer
Цена: 6986.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Modeling and analyzing resource-sensitive actors: A tutorial introduction.- Manifestly Phased Communication via Shared Session Types.- Deconfined Global Types for Asynchronous Sessions.- Relating Functional and Imperative Session Types.- Safe Session-Based Asynchronous Coordination in Rust.- A Session Subtyping Tool.- Towards Probabilistic Session-Type Monitoring.- Java Typestate Checker.- Asynchronous Global Types in co-logic Programming.- Tuple-Based Coordination in Large-Scale Situated Systems.- A Theory of Automated Market Makers in DeFi.- ReGraDa: Reactive Graph Data.- The Structure of Concurrent Process Histories.- A Clean and Efficient Implementation of Choreography Synthesis for Behavioural Contracts.- A Practical Tool-Chain for the Development of Coordination Scenarios: Graphical Modeler, DSL, Code Generators and Automaton-Based Simulator.- Microservice Dynamic Architecture-Level Deployment Orchestration.- Jolie & LEMMA: Model-Driven Engineering and Programming Languages Meet on Microservices.- ScaFi-Web: a Web-Based Application for Field-Based Coordination Programming.

Federated Learning Systems: Towards Next-Generation AI

Автор: Rehman Muhammad Habib Ur, Gaber Mohamed Medhat
Название: Federated Learning Systems: Towards Next-Generation AI
ISBN: 3030706036 ISBN-13(EAN): 9783030706036
Издательство: Springer
Цена: 22359.00 р.
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Описание: Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development.

Intelligent Computing and Block Chain: First Benchcouncil International Federated Conferences, Ficc 2020, Qingdao, China, October 30 - November 3, 202

Автор: Gao Wanling, Hwang Kai, Wang Changyun
Название: Intelligent Computing and Block Chain: First Benchcouncil International Federated Conferences, Ficc 2020, Qingdao, China, October 30 - November 3, 202
ISBN: 9811611599 ISBN-13(EAN): 9789811611599
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book constitutes the refereed post-conference proceedings of the Second BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, held in Qingdao, China, in October/ November 2020.The 32 full papers and 6 short papers presented were carefully reviewed and selected from 103 submissions.

6g Mobile Wireless Networks

Автор: Wu Yulei, Singh Sukhdeep, Taleb Tarik
Название: 6g Mobile Wireless Networks
ISBN: 3030727769 ISBN-13(EAN): 9783030727765
Издательство: Springer
Цена: 23757.00 р.
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Описание: 1 Introduction2 6G Use Cases, Requirements, and Metrics3 6G Enabling Technologies4 Physical Layer Design Challenges for 6G Wireless5 PHY-Layer Design Challenges in Reconfigurable Intelligent Surface Aided 6G Wireless Networks6 Millimeter-wave and Terahertz Spectrum for 6G Wireless7 Challenges in Transport Layer Design for Terahertz Communication-based 6G Networks8 Mode Hopping for Anti-Jamming in 6G Wireless Communications9 Hybrid Lightwave/RF Connectivity for 6G Wireless Networks10 Resource Allocation in 6G Optical Wireless Systems11 Machine Type Communications in 6G12 Edge Intelligence in 6G Systems13 6G CloudNet: Towards a Distributed, Autonomous, and Federated AI-Enabled Cloud and Edge Computing14 Cloud Fog Architectures in 6G Networks15 Towards a Fully Virtualized, Cloudified, and Slicing-aware RAN for 6G Mobile Networks16 Federated Learning in 6G Mobile Wireless Networks17 Role of Open-source in 6G Wireless Networks18 The Intersection of Blockchain and 6G Technologies19 Role of Quantum Technology in 6G20 Post-quantum Cryptography in 6G21 6G: Open Issues and Concluding Remarks

Resource Management and Performance Analysis of Wireless Communication Networks

Автор: Jin Shunfu, Yue Wuyi
Название: Resource Management and Performance Analysis of Wireless Communication Networks
ISBN: 9811577552 ISBN-13(EAN): 9789811577550
Издательство: Springer
Цена: 23757.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The author combines the time-dependent damage mechanisms of interface and fiber oxidation and fracture with the micromechanical approach to establish the relationships between the first matrix cracking stress, matrix multiple cracking evolution, tensile strength, tensile stress-strain curves and tensile fatigue of fiber-reinforced CMCs and time.

Communications: Wireless in Developing Countries and Networks of the Future

Автор: Ana Pont; Guy Pujolle; S.V. Raghavan
Название: Communications: Wireless in Developing Countries and Networks of the Future
ISBN: 3642423361 ISBN-13(EAN): 9783642423369
Издательство: Springer
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Цена: 10901.00 р.
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Wireless Sensor Networks

Автор: Shuang-Hua Yang
Название: Wireless Sensor Networks
ISBN: 1447155041 ISBN-13(EAN): 9781447155041
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book details practical solutions to the design issues presented in wireless-sensor-network-based systems. It features workable solutions, demonstration systems and case studies.

Multiple Access Techniques for 5G Wireless Networks and Beyond

Автор: Mojtaba Vaezi; Zhiguo Ding; H. Vincent Poor
Название: Multiple Access Techniques for 5G Wireless Networks and Beyond
ISBN: 3030063607 ISBN-13(EAN): 9783030063603
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book presents comprehensive coverage of current and emerging multiple access, random access, and waveform design techniques for 5G wireless networks and beyond. A definitive reference for researchers in these fields, the book describes recent research from academia, industry, and standardization bodies. The book is an all-encompassing treatment of these areas addressing orthogonal multiple access and waveform design, non-orthogonal multiple access (NOMA) via power, code, and other domains, and orthogonal, non-orthogonal, and grant-free random access. The book builds its foundations on state of the art research papers, measurements, and experimental results from a variety of sources.


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