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Federated and Transfer Learning, Razavi-Far


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Цена: 20962.00р.
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Автор: Razavi-Far
Название:  Federated and Transfer Learning
ISBN: 9783031117473
Издательство: Springer
Классификация:
ISBN-10: 3031117476
Обложка/Формат: Hardback
Страницы: 371
Вес: 0.74 кг.
Дата издания: 15.10.2022
Серия: Adaptation, Learning, and Optimization
Язык: English
Издание: 1st ed. 2023
Иллюстрации: 80 illustrations, color; 10 illustrations, black and white; viii, 371 p. 90 illus., 80 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
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.
Дополнительное описание: An Introduction to Federated and Transfer Learning.- Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art.- Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms.- Cross-silo Federated Neural Ar



formal methods

Автор: Klaus Havelund
Название: formal methods
ISBN: 3319955810 ISBN-13(EAN): 9783319955810
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book constitutes the refereed proceedings of the 22nd International Symposium on Formal Methods, FM 2018, held in Oxford, UK, in July 2018. The 44 full papers presented together with 2 invited papers were carefully reviewed and selected from 110 submissions.

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.
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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

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.
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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.

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.
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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.

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.

Computer Aided Verification

Автор: Chockler
Название: Computer Aided Verification
ISBN: 3319961411 ISBN-13(EAN): 9783319961415
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.

Automated Reasoning

Автор: Galmiche
Название: Automated Reasoning
ISBN: 3319942042 ISBN-13(EAN): 9783319942049
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 9th International Joint Conference on Automated Reasoning, IJCAR 2018, held in Oxford, United Kingdom, in July 2018, as part of the Federated Logic Conference, FLoC 2018.

Theory and Applications of Satisfiability Testing – SAT 2018

Автор: Beyersdorff
Название: Theory and Applications of Satisfiability Testing – SAT 2018
ISBN: 3319941437 ISBN-13(EAN): 9783319941431
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 21st International Conference on Theory and Applications of Satisfiability Testing, SAT 2018, held in Oxford, UK, in July 2018.The 20 revised full papers, 4 short papers, and 2 tool papers were carefully reviewed and selected from 58 submissions.

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.

Proceedings of the 2015 Federated Conference on Software Development and Object Technologies

Автор: Janech
Название: Proceedings of the 2015 Federated Conference on Software Development and Object Technologies
ISBN: 3319465341 ISBN-13(EAN): 9783319465340
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This book presents the proceedings of the International Conference SDOT which was organized at the University in ?ilina, Faculty of Management Sciences and Informatics, Slovak Republic in November 19, 2015. The conference was truly international both in terms of the amount of foreign contributions and in terms of composition of steering and scientific committees. The book and the conference serves as a platform of professional exchange of knowledge and experience for the latest trends in software development and object-oriented technologies (theory and practice). This proceedings present information on the latest developments and mediate the exchange of experience between practitioners and academia.

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.

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.


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