2020 Ieee 40th International Conference On Distributed Computing Systems Icdcs

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 50,5 Mb
Release : 2020-11-29
Category : Electronic
ISBN : 1728170036

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2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS) by IEEE Staff Pdf

The conference provides a platform for researchers, scientists, and engineers in various domains, in fields such as academics, industry and government, to present their current findings in the emerging areas of distributed computing The topics include, but are not limited to Cloud Computing and Data Centers Distributed Big Data Systems and Analytics Distributed Operating Systems and Middleware Distributed Algorithms and Theory Distributed Fault Tolerance and Dependability Distributed Green Computing and Energy Management Internet of Things and Cyber Physical Systems Mobile and Wireless Network Computing Edge Computing Security, Privacy, and Trust in Distributed Systems Social Networks and Crowdsourcing Block Chain Industry and Experimentation Distributed Machine Learning UNcertainty in distributed compuTing Systems (UNITS) Vision Blue Sky Thinking (Special Track)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 43,6 Mb
Release : 2021-07-07
Category : Electronic
ISBN : 1665445149

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2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS) by IEEE Staff Pdf

The conference provides a platform for researchers, scientists, and engineers in various domains, in fields such as academics, industry and government, to present their current findings in the emerging areas of distributed computing The topics include, but are not limited to Cloud Computing and Data Centers Distributed Big Data Systems and Analytics Distributed Operating Systems and Middleware Distributed Algorithms and Theory Distributed Fault Tolerance and Dependability Distributed Green Computing and Energy Management Internet of Things and Cyber Physical SystemsMobile and Wireless Network Computing Edge Computing Security, Privacy, and Trust in Distributed Systems Social Networks and Crowdsourcing Block Chain Industry and Experimentation Distributed Machine Learning UNcertainty in distributed compuTing Systems (UNITS) Vision Blue Sky Thinking (Special Track)

Author : Zahir Tari
Publisher : Springer Nature
Page : 375 pages
File Size : 45,7 Mb
Release : 2024-07-03
Category : Electronic
ISBN : 9789819708628

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Algorithms and Architectures for Parallel Processing by Zahir Tari Pdf

Author : Jian Dong,Long Zhang
Publisher : Springer Nature
Page : 806 pages
File Size : 46,6 Mb
Release : 2023-04-23
Category : Technology & Engineering
ISBN : 9789819904167

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Proceedings of the International Conference on Internet of Things, Communication and Intelligent Technology by Jian Dong,Long Zhang Pdf

This book includes original, peer-reviewed research papers from the International Conference on Internet of Things, Communication and Intelligent Technology (IoTCIT) 2022. It contains the application of communication and IoT engineering in the age of intelligent technology+ from the standpoint of disciplinary integration, combining theory and associated IoT and intelligent technology algorithms. The topics cover the full range of IoT solutions, from IoT to network security, and focus on many forms of communication, such as Next Generation (6G) Mobile Communication, D2D, and M2M Communication. Additionally, it examines Intelligent Technology, with a focus on Information System Modeling and Simulation. It also explores Cloud Computing, Pervasive and Mobile Computing, Distributed Computing, High Performance Computing, and Ubiquitous Computing.

Author : Nguyen-Son Vo,Hoai-An Tran
Publisher : Springer Nature
Page : 335 pages
File Size : 51,7 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9783031473593

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Industrial Networks and Intelligent Systems by Nguyen-Son Vo,Hoai-An Tran Pdf

This book constitutes the refereed proceedings of the 9th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2023, held in Ho-Chi-Minh City, Vietnam, during August 2-3, 2023. The 23 full papers were selected from 55 submissions and are organized thematically in tracks on telecommunications systems and networks; information processing and data analysis; industrial networks and intelligent systems; security and privacy.

Author : Alex Khang,Subrata Chowdhury,Seema Sharma
Publisher : CRC Press
Page : 272 pages
File Size : 49,7 Mb
Release : 2022-12-29
Category : Technology & Engineering
ISBN : 9781000802030

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The Data-Driven Blockchain Ecosystem by Alex Khang,Subrata Chowdhury,Seema Sharma Pdf

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems. The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications. All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.

Author : Chunhua Su,Dimitris Gritzalis,Vincenzo Piuri
Publisher : Springer Nature
Page : 643 pages
File Size : 43,5 Mb
Release : 2022-11-18
Category : Computers
ISBN : 9783031212802

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Information Security Practice and Experience by Chunhua Su,Dimitris Gritzalis,Vincenzo Piuri Pdf

This book constitutes the refereed proceedings of the 17th International Conference on Information Security Practice and Experience, ISPEC 2022, held in Taipei, Taiwan, in November 2022. The 33 full papers together with 2 invited papers included in this volume were carefully reviewed and selected from 87 submissions. The main goal of the conference is to promote research on new information security technologies, including their applications and their integration with IT systems in various vertical sectors.

Author : Xingming Sun,Xiaorui Zhang,Zhihua Xia,Elisa Bertino
Publisher : Springer Nature
Page : 732 pages
File Size : 48,7 Mb
Release : 2022-07-08
Category : Computers
ISBN : 9783031067617

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Advances in Artificial Intelligence and Security by Xingming Sun,Xiaorui Zhang,Zhihua Xia,Elisa Bertino Pdf

The 3-volume set CCIS 1586, CCIS 1587 and CCIS 1588 constitutes the 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 115 full papers and 53 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1124 submissions. The papers were organized in topical sections as follows: Part I: artificial intelligence; Part II: artificial intelligence; big data; cloud computing and security; multimedia forensics; Part III: encryption and cybersecurity; information hiding; IoT security.

Author : Jayakrushna Sahoo,Mariya Ouaissa,Akarsh K. Nair
Publisher : CRC Press
Page : 353 pages
File Size : 51,7 Mb
Release : 2024-09-20
Category : Computers
ISBN : 9781040088593

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Federated Learning by Jayakrushna Sahoo,Mariya Ouaissa,Akarsh K. Nair Pdf

This new book provides an in-depth understanding of federated learning, a new and increasingly popular learning paradigm that decouples data collection and model training via multi-party computation and model aggregation. The volume explores how federated learning integrates AI technologies, such as blockchain, machine learning, IoT, edge computing, and fog computing systems, allowing multiple collaborators to build a robust machine-learning model using a large dataset. It highlights the capabilities and benefits of federated learning, addressing critical issues such as data privacy, data security, data access rights, and access to heterogeneous data. The volume first introduces the general concepts of machine learning and then summarizes the federated learning system setup and its associated terminologies. It also presents a basic classification of FL, the application of FL for various distributed computing scenarios, an integrated view of applications of software-defined networks, etc. The book also explores the role of federated learning in the Internet of Medical Things systems as well. The book provides a pragmatic analysis of strategies for developing a communication-efficient federated learning system. It also details the applicability of blockchain with federated learning on IoT-based systems. It provides an in-depth study of FL-based intrusion detection systems, discussing their taxonomy and functioning and showcasing their superiority over existing systems. The book is unique in that it evaluates the privacy and security aspects in federated learning. The volume presents a comprehensive analysis of some of the common challenges, proven threats, and attack strategies affecting FL systems. Special coverage on protected shot-based federated learning for facial expression recognition is also included. This comprehensive book, Federated Learning: Principles, Paradigms, and Applications, will enable research scholars, information technology professionals, and distributed computing engineers to understand various aspects of federated learning concepts and computational techniques for real-life implementation.

Author : Songlin Sun,Tao Hong,Peng Yu,Jiaqi Zou
Publisher : Springer Nature
Page : 1294 pages
File Size : 55,5 Mb
Release : 2022-10-12
Category : Technology & Engineering
ISBN : 9789811947759

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Signal and Information Processing, Networking and Computers by Songlin Sun,Tao Hong,Peng Yu,Jiaqi Zou Pdf

This book collects selected papers from the 9th Conference on Signal and Information Processing, Networking and Computers held online, in December, 2021. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies, big data and other related technologies. Readers from both academia and industry of this field can contribute and find their interests from the book.

Author : Bohan Li,Lin Yue,Chuanqi Tao,Xuming Han,Diego Calvanese,Toshiyuki Amagasa
Publisher : Springer Nature
Page : 480 pages
File Size : 55,7 Mb
Release : 2023-02-09
Category : Computers
ISBN : 9783031252013

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Web and Big Data by Bohan Li,Lin Yue,Chuanqi Tao,Xuming Han,Diego Calvanese,Toshiyuki Amagasa Pdf

This three-volume set, LNCS 13421, 13422 and 13423, constitutes the thoroughly refereed proceedings of the 6th International Joint Conference, APWeb-WAIM 2022, held in Nanjing, China, in August 2022. The 75 full papers presented together with 45 short papers, and 5 demonstration papers were carefully reviewed and selected from 297 submissions. The papers are organized around the following topics: Big Data Analytic and Management, Advanced database and web applications, Cloud Computing and Crowdsourcing, Data Mining, Graph Data and Social Networks, Information Extraction and Retrieval, Knowledge Graph, Machine Learning, Query processing and optimization, Recommender Systems, Security, privacy, and trust and Blockchain data management and applications, and Spatial and multi-media data.

Author : Heiko Ludwig,Nathalie Baracaldo
Publisher : Springer Nature
Page : 531 pages
File Size : 47,9 Mb
Release : 2022-07-07
Category : Computers
ISBN : 9783030968960

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Federated Learning by Heiko Ludwig,Nathalie Baracaldo Pdf

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.

Author : Wanchun Dou,Xiaolong Xu,Shui Yu
Publisher : Springer Nature
Page : 223 pages
File Size : 55,9 Mb
Release : 2023-11-20
Category : Technology & Engineering
ISBN : 9789819957323

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Intelligent Industrial Internet Systems by Wanchun Dou,Xiaolong Xu,Shui Yu Pdf

In the process of transforming modern manufacturing into intelligent manufacturing, more and more manufacturing processes are being deployed digitally on the Internet. As a novel digital industrial infrastructure and new application ecology, Industrial Internet could integrate the novel information and communication technology into various industrial manufacturing processes, through the safe and reliable intelligent interconnection of factors concerning people, machines and things. It aims at significantly improving the digitalization, networking and intelligence of manufacturing processes through the comprehensive interconnection of all manufacturing factors. To deploy and run traditional manufacturing processes on Industrial Internet efficiently, corresponding digital technical means are called for. These technical means play an important role in many potential applications of intelligent manufacturing, e.g. integrating product lifecycle data, strengthening industrial chain cooperation, providing decision-making service information oriented on the production organization process, and providing data support for product optimization and upgrading. This book focuses on the theory, techniques and means for integrating intelligent Industrial Internet applications deployed via mobile edge computing. Concretely, it mainly studies the intelligent theory, techniques and means from a problem-driven and demand-driven perspective, which supports collaborative design, agile manufacturing, remote operation and maintenance on Industrial Internet. These technologies primarily include Industrial Internet-centric intelligent resource scheduling methods, various types of industrial data privacy protection, intelligent version management technologies supporting digital twin applications, various data mining algorithms for intelligent execution of business processes, etc. Given its scope, the book offers a valuable theoretical and technical resource for project managers, technical developers, researchers, educators and students at colleges and universities.

Author : Roozbeh Razavi-Far,Boyu Wang,Matthew E. Taylor,Qiang Yang
Publisher : Springer Nature
Page : 371 pages
File Size : 43,7 Mb
Release : 2022-09-30
Category : Technology & Engineering
ISBN : 9783031117480

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Federated and Transfer Learning by Roozbeh Razavi-Far,Boyu Wang,Matthew E. Taylor,Qiang Yang Pdf

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.

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 43,7 Mb
Release : 2017-06-05
Category : Electronic
ISBN : 1538617935

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2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) by IEEE Staff Pdf

The conference provides a forum for engineers and scientists in academia, industry, and government to present their latest research findings in any aspects of distributed and parallel computing Papers are solicited on a wide range of distributed systems and solutions