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.
Описание: In this enthralling memoir we follow Max Evans and Sam Peckinpah through conversations in bars, family gatherings, binges on drugs and alcohol, struggles with film producers and executives, and Peckinpah`s abusive behavior - sometimes directed at Evans himself. Evans`s stories provide a uniquely intimate look at Peckinpah, their famous friends, and the business of Hollywood in the 1960s and 1970s.
Автор: Gabor Kecskemeti, Attila Kertes, Zsolt Nemeth Название: Developing Interoperable and Federated Cloud Architecture ISBN: 1522501533 ISBN-13(EAN): 9781522501534 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 30631.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides valuable insight into current and emergent research occurring within the field of cloud infrastructures. It features barriers, recent developments, and practical applications on the interoperability issues of federated cloud architectures.
Автор: Harrison Cuthbert Woodville Название: An Illustrated Guide to the Federated Malay States ISBN: 1176718606 ISBN-13(EAN): 9781176718609 Издательство: Неизвестно Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications.
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) Рейтинг: 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.
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.
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.
Автор: Berteau David J., Miller Scott, Crotty Ryan Название: Leveraging Global Value Chains for a Federated Approach to Defense ISBN: 1442240512 ISBN-13(EAN): 9781442240513 Издательство: Неизвестно Рейтинг: Цена: 11035.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This report focuses on the ways that a federated defense approach can strengthen strategic partnerships and deliver more innovative defense technologies at a lower cost-by better harnessing global supply chain networks to expand the military supplier base and increase the net capability available to the network of partners and allies.
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