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Federated Learning, Nguyen,Lam M.


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Цена: 16161.00р.
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Автор: Nguyen,Lam M.
Название:  Federated Learning
ISBN: 9780443190377
Издательство: Elsevier Science
Классификация:


ISBN-10: 0443190372
Обложка/Формат: Paperback
Страницы: 434
Вес: 0.45 кг.
Дата издания: 29.03.2024
Размер: 191 x 237 x 24
Основная тема: Computing
Подзаголовок: Theory and practice
Ссылка на Издательство: Link
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Поставляется из: Европейский союз


Coordination Models and Languages

Автор: Di Marzo Serugendo
Название: Coordination Models and Languages
ISBN: 3319924079 ISBN-13(EAN): 9783319924076
Издательство: Springer
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Цена: 6986.00 р.
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Описание: System Coordination.- Agent-Oriented Techniques.- Software Architecture.- Formal Analysis.- Design.- Implementation of Languages.- Models.- Multicore Software Systems.

Federated Learning Systems

Автор: Rehman
Название: Federated Learning Systems
ISBN: 3030706060 ISBN-13(EAN): 9783030706067
Издательство: Springer
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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.

Federated and Transfer Learning

Автор: Razavi-Far
Название: Federated and Transfer Learning
ISBN: 3031117476 ISBN-13(EAN): 9783031117473
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.

Federated Learning

Автор: Ludwig
Название: Federated Learning
ISBN: 3030968952 ISBN-13(EAN): 9783030968953
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Federated Learning: A Comprehensive Overview of Methods and Applications presents an in-depth discussion of the most important issues and approaches to federated learning for researchers and practitioners. Federated Learning (FL) is an approach to machine learning in which the training data are not managed centrally. Data are retained by data parties that participate in the FL process and are not shared with any other entity. This makes FL an increasingly popular solution for machine learning tasks for which bringing data together in a centralized repository is problematic, either for privacy, regulatory or practical reasons. This book explains recent progress in research and the state-of-the-art development of Federated Learning (FL), from the initial conception of the field to first applications and commercial use. To obtain this broad and deep overview, leading researchers address the different perspectives of federated learning: the core machine learning perspective, privacy and security, distributed systems, and specific application domains. Readers learn about the challenges faced in each of these areas, how they are interconnected, and how they are solved by state-of-the-art methods. Following an overview on federated learning basics in the introduction, over the following 24 chapters, the reader will dive deeply into various topics. A first part addresses algorithmic questions of solving different machine learning tasks in a federated way, how to train efficiently, at scale, and fairly. Another part focuses on providing clarity on how to select privacy and security solutions in a way that can be tailored to specific use cases, while yet another considers the pragmatics of the systems where the federated learning process will run. The book also covers other important use cases for federated learning such as split learning and vertical federated learning. Finally, the book includes some chapters focusing on applying FL in real-world enterprise settings.

Federated Learning Over Wireless Edge Networks

Автор: Lim
Название: Federated Learning Over Wireless Edge Networks
ISBN: 3031078373 ISBN-13(EAN): 9783031078378
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book first presents a tutorial on Federated Learning (FL) and its role in enabling Edge Intelligence over wireless edge networks. This provides readers with a concise introduction to the challenges and state-of-the-art approaches towards implementing FL over the wireless edge network. Then, in consideration of resource heterogeneity at the network edge, the authors provide multifaceted solutions at the intersection of network economics, game theory, and machine learning towards improving the efficiency of resource allocation for FL over the wireless edge networks. A clear understanding of such issues and the presented theoretical studies will serve to guide practitioners and researchers in implementing resource-efficient FL systems and solving the open issues in FL respectively.

Formal Techniques for Distributed Objects, Components, and Systems

Автор: Ahmed Bouajjani; Alexandra Silva
Название: Formal Techniques for Distributed Objects, Components, and Systems
ISBN: 3319602241 ISBN-13(EAN): 9783319602240
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Session types for Link failures.- Learning-based compositional parameter synthesis for event-recording automata.- Modularising opacity verification for Hybrid Transactional Memory.- Proving opacity via linearizability: a sound and complete method.- On futures for streaming data in ABS.- Session-based concurrency, reactively.- Procedural choreographic programming.- An observational approach to defining linearizability on weak memory models.- Applying a dependency mechanism in the formal development of voting protocol models using event-B.- Weak simulation quasimetric in a gossip scenario.- Reasoning about distributed secrets.- Classical higher-order processes.- Weak nominal modal logic.- Type inference of simulink hierarchical block diagrams in Isabelle.- Creating Bьchi automata for multi-valued model checking.- Privacy assessment using static taint analysis.- EPTL - a temporal logic for weakly consistent systems.

Interactive theorem proving

Название: Interactive theorem proving
ISBN: 3319948202 ISBN-13(EAN): 9783319948201
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 9th International Conference on Interactive Theorem Proving, ITP 2018, held in Oxford, UK, in July 2018. The 32 full papers and 5 short papers presented were carefully reviewed and selected from 65 submissions.

Coordination Models and Languages: 22nd Ifip Wg 6.1 International Conference, Coordination 2020, Held as Part of the 15th International Federated Conf

Автор: Bliudze Simon, Bocchi Laura
Название: Coordination Models and Languages: 22nd Ifip Wg 6.1 International Conference, Coordination 2020, Held as Part of the 15th International Federated Conf
ISBN: 3030500284 ISBN-13(EAN): 9783030500283
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the 22nd International Conference on Coordination Models and Languages, COORDINATION 2020, which was due to be held in Valletta, Malta, in June 2020, as part of the 15th International Federated Conference on Distributed Computing Techniques, DisCoTec 2020.

Federated ai for real-world business scenarios

Автор: Verma, Dinesh C.
Название: Federated ai for real-world business scenarios
ISBN: 1032049359 ISBN-13(EAN): 9781032049359
Издательство: Taylor&Francis
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Цена: 7961.00 р.
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Demystifying Federated Learning for Blockchain and Industrial Internet of Things

Автор: Gaurav Dhiman, Sandeep Kautish
Название: Demystifying Federated Learning for Blockchain and Industrial Internet of Things
ISBN: 1668437333 ISBN-13(EAN): 9781668437339
Издательство: Mare Nostrum (Eurospan)
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Цена: 42134.00 р.
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Описание: Rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. The book provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication.

Distributed Applications and Interoperable Systems

Автор: Jos? Pereira; Laura Ricci
Название: Distributed Applications and Interoperable Systems
ISBN: 3030224953 ISBN-13(EAN): 9783030224950
Издательство: Springer
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Цена: 7547.00 р.
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Описание: This book constitutes the proceedings of the 19th IFIP International Conference on Distributed Applications and Interoperable Systems, DAIS 2019, held in Kongens Lyngby, Denmark, in June 2019, as part of the 14th International Federated Conference on Distributed Computing Techniques, DisCoTec 2019. The 9 full papers presented together with 2 short papers were carefully reviewed and selected from 28 submissions. The papers addressed challenges in multiple application areas, such as the Internet-of-Things, cloud and edge computing, and mobile systems. Some papers focused on middleware for managing concurrency and consistency in distributed systems, including data replication and transactions.

Computer Aided Verification

Автор: Chockler
Название: Computer Aided Verification
ISBN: 3319961446 ISBN-13(EAN): 9783319961446
Издательство: Springer
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Цена: 6986.00 р.
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Описание:

This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018.

The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verification to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications.


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