2020 Ieee 40th International Conference On Distributed Computing Systems Icdcs

Download 2020 Ieee 40th International Conference On Distributed Computing Systems Icdcs full books in PDF, epub, and Kindle. Read online 2020 Ieee 40th International Conference On Distributed Computing Systems Icdcs ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728170039
Total Pages : pages
Book Rating : 4.1/5 (7 download)

DOWNLOAD NOW!

Book Synopsis 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS) by : IEEE Staff

Download or read book 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS) written by IEEE Staff and published by . This book was released on 2020-11-29 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)

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

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665445146
Total Pages : pages
Book Rating : 4.4/5 (451 download)

DOWNLOAD NOW!

Book Synopsis 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS) by : IEEE Staff

Download or read book 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS) written by IEEE Staff and published by . This book was released on 2021-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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)

Algorithms and Architectures for Parallel Processing

Author : Zahir Tari
Publisher : Springer Nature
ISBN 13 : 9819708621
Total Pages : 375 pages
Book Rating : 4.8/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Algorithms and Architectures for Parallel Processing by : Zahir Tari

Download or read book Algorithms and Architectures for Parallel Processing written by Zahir Tari and published by Springer Nature. This book was released on with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the International Conference on Internet of Things, Communication and Intelligent Technology

Author : Jian Dong
Publisher : Springer Nature
ISBN 13 : 9819904161
Total Pages : 806 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the International Conference on Internet of Things, Communication and Intelligent Technology by : Jian Dong

Download or read book Proceedings of the International Conference on Internet of Things, Communication and Intelligent Technology written by Jian Dong and published by Springer Nature. This book was released on 2023-04-23 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Industrial Networks and Intelligent Systems

Author : Nguyen-Son Vo
Publisher : Springer Nature
ISBN 13 : 3031473590
Total Pages : 335 pages
Book Rating : 4.0/5 (314 download)

DOWNLOAD NOW!

Book Synopsis Industrial Networks and Intelligent Systems by : Nguyen-Son Vo

Download or read book Industrial Networks and Intelligent Systems written by Nguyen-Son Vo and published by Springer Nature. This book was released on 2023-12-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Data-Driven Blockchain Ecosystem

Author : Alex Khang
Publisher : CRC Press
ISBN 13 : 1000802035
Total Pages : 272 pages
Book Rating : 4.0/5 (8 download)

DOWNLOAD NOW!

Book Synopsis The Data-Driven Blockchain Ecosystem by : Alex Khang

Download or read book The Data-Driven Blockchain Ecosystem written by Alex Khang and published by CRC Press. This book was released on 2022-12-29 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Information Security Practice and Experience

Author : Chunhua Su
Publisher : Springer Nature
ISBN 13 : 3031212800
Total Pages : 643 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Information Security Practice and Experience by : Chunhua Su

Download or read book Information Security Practice and Experience written by Chunhua Su and published by Springer Nature. This book was released on 2022-11-18 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Signal and Information Processing, Networking and Computers

Author : Songlin Sun
Publisher : Springer Nature
ISBN 13 : 9811947759
Total Pages : 1294 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Signal and Information Processing, Networking and Computers by : Songlin Sun

Download or read book Signal and Information Processing, Networking and Computers written by Songlin Sun and published by Springer Nature. This book was released on 2022-10-12 with total page 1294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Federated Learning

Author : Jayakrushna Sahoo
Publisher : CRC Press
ISBN 13 : 1040088597
Total Pages : 353 pages
Book Rating : 4.0/5 (4 download)

DOWNLOAD NOW!

Book Synopsis Federated Learning by : Jayakrushna Sahoo

Download or read book Federated Learning written by Jayakrushna Sahoo and published by CRC Press. This book was released on 2024-09-20 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Web and Big Data

Author : Bohan Li
Publisher : Springer Nature
ISBN 13 : 3031252012
Total Pages : 480 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Web and Big Data by : Bohan Li

Download or read book Web and Big Data written by Bohan Li and published by Springer Nature. This book was released on 2023-02-09 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Artificial Intelligence and Security

Author : Xingming Sun
Publisher : Springer Nature
ISBN 13 : 3031067614
Total Pages : 732 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Advances in Artificial Intelligence and Security by : Xingming Sun

Download or read book Advances in Artificial Intelligence and Security written by Xingming Sun and published by Springer Nature. This book was released on 2022-07-08 with total page 732 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Federated and Transfer Learning

Author : Roozbeh Razavi-Far
Publisher : Springer Nature
ISBN 13 : 3031117484
Total Pages : 371 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Federated and Transfer Learning by : Roozbeh Razavi-Far

Download or read book Federated and Transfer Learning written by Roozbeh Razavi-Far and published by Springer Nature. This book was released on 2022-09-30 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Industrial Internet Systems

Author : Wanchun Dou
Publisher : Springer Nature
ISBN 13 : 981995732X
Total Pages : 223 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Industrial Internet Systems by : Wanchun Dou

Download or read book Intelligent Industrial Internet Systems written by Wanchun Dou and published by Springer Nature. This book was released on 2023-11-20 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Learning Techniques for the Internet of Things

Author : Praveen Kumar Donta
Publisher : Springer Nature
ISBN 13 : 303150514X
Total Pages : 334 pages
Book Rating : 4.0/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Learning Techniques for the Internet of Things by : Praveen Kumar Donta

Download or read book Learning Techniques for the Internet of Things written by Praveen Kumar Donta and published by Springer Nature. This book was released on with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computer Vision – ECCV 2022

Author : Shai Avidan
Publisher : Springer Nature
ISBN 13 : 3031198395
Total Pages : 819 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Computer Vision – ECCV 2022 by : Shai Avidan

Download or read book Computer Vision – ECCV 2022 written by Shai Avidan and published by Springer Nature. This book was released on 2022-10-22 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence

Author : Rawat, Romil
Publisher : IGI Global
ISBN 13 : 1668439441
Total Pages : 300 pages
Book Rating : 4.6/5 (684 download)

DOWNLOAD NOW!

Book Synopsis Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence by : Rawat, Romil

Download or read book Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-13 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data stealing is a major concern on the internet as hackers and criminals have begun using simple tricks to hack social networks and violate privacy. Cyber-attack methods are progressively modern, and obstructing the attack is increasingly troublesome, regardless of whether countermeasures are taken. The Dark Web especially presents challenges to information privacy and security due to anonymous behaviors and the unavailability of data. To better understand and prevent cyberattacks, it is vital to have a forecast of cyberattacks, proper safety measures, and viable use of cyber-intelligence that empowers these activities. Dark Web Pattern Recognition and Crime Analysis Using Machine Intelligence discusses cyberattacks, security, and safety measures to protect data and presents the shortcomings faced by researchers and practitioners due to the unavailability of information about the Dark Web. Attacker techniques in these Dark Web environments are highlighted, along with intrusion detection practices and crawling of hidden content. Covering a range of topics such as malware and fog computing, this reference work is ideal for researchers, academicians, practitioners, industry professionals, computer scientists, scholars, instructors, and students.

Federated Learning

Author : Heiko Ludwig
Publisher : Springer Nature
ISBN 13 : 3030968960
Total Pages : 531 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Federated Learning by : Heiko Ludwig

Download or read book Federated Learning written by Heiko Ludwig and published by Springer Nature. This book was released on 2022-07-07 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.