2021 Ieee International Symposium On Information Theory Isit
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2021 Ieee International Symposium On Information Theory Isit
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2021-07-12
2021 Ieee International Symposium On Information Theory Isit written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-12 with categories.
ISIT is the premier international conference dedicated to the advancement of information theory and related areas It brings together an international community of researchers and practitioners each year in the field of information theory to present and discuss new research results and perspectives on future developments relevant to all areas of information theory, including big data analytics, source and channel coding, communication theory and systems, cryptography and security, detection and estimation, emerging applications, networks, network coding information theory, signal processing, and statistical machine learning
2021 Ieee International Symposium On Information Theory Isit
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Author :
language : en
Publisher:
Release Date : 2021
2021 Ieee International Symposium On Information Theory Isit written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Information Theory And Related Fields
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Author : Christian Deppe
language : en
Publisher: Springer Nature
Release Date : 2025-03-25
Information Theory And Related Fields written by Christian Deppe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.
Ning Cai was an eminent mathematician, engineer and computer scientist who made many significant contributions to information theory. In particular, his work on network coding theory created a new research direction for the community. Prof. Cai’s passion for science inspired his collaborators across the fields of classical and quantum information theory, combinatorics, computation, post-Shannon theory, and coding theory, and the contributions in this volume reflect his success as a researcher and mentor.
Next Generation Multiple Access
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Author : Yuanwei Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2024-01-11
Next Generation Multiple Access written by Yuanwei Liu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Technology & Engineering categories.
Highly comprehensive resource investigating how next-generation multiple access (NGMA) relates to unrestricted global connection, business requirements, and sustainable wireless networks Next Generation Multiple Access is a comprehensive, state-of-the-art, and approachable guide to the fundamentals and applications of next-generation multiple access (NGMA) schemes, guiding the future development of industries, government requirements, and military utilization of multiple access systems for wireless communication systems and providing various application scenarios to fit practical case studies. The scope and depth of this book are balanced for both beginners to advanced users. Additional references are provided for readers who wish to learn more details about certain subjects. Applications of NGMA outside of communications, including data and computing assisted by machine learning, protocol designs, and others, are also covered. Written by four leading experts in the field, Next Generation Multiple Access includes information on: Foundation and application scenarios for non-orthogonal multiple access (NOMA) systems, including modulation, detection, power allocation, and resource management NOMA's interaction with alternate applications such as satellite communication systems, terrestrial-satellite communication systems, and integrated sensing Collision resolution, compressed sensing aided massive access, latency management, deep learning enabled massive access, and energy harvesting Holographic-pattern division multiple access, over-the-air transmission, multi-dimensional multiple access, sparse signal detection, and federated meta-learning assisted resource management Next Generation Multiple Access is an essential reference for those who are interested in discovering practical solutions using NGMA technology, including researchers, engineers, and graduate students in the disciplines of information engineering, telecommunications engineering, and computer engineering.
Analytic Information Theory
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Author : Michael Drmota
language : en
Publisher: Cambridge University Press
Release Date : 2023-09-07
Analytic Information Theory written by Michael Drmota and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-07 with Computers categories.
Through information theory, problems of communication and compression can be precisely modeled, formulated, and analyzed, and this information can be transformed by means of algorithms. Also, learning can be viewed as compression with side information. Aimed at students and researchers, this book addresses data compression and redundancy within existing methods and central topics in theoretical data compression, demonstrating how to use tools from analytic combinatorics to discover and analyze precise behavior of source codes. It shows that to present better learnable or extractable information in its shortest description, one must understand what the information is, and then algorithmically extract it in its most compact form via an efficient compression algorithm. Part I covers fixed-to-variable codes such as Shannon and Huffman codes, variable-to-fixed codes such as Tunstall and Khodak codes, and variable-to-variable Khodak codes for known sources. Part II discusses universal source coding for memoryless, Markov, and renewal sources.
Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics
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Author : Himanshu Mittal
language : en
Publisher: Springer Nature
Release Date : 2025-01-26
Proceedings Of International Conference On Paradigms Of Communication Computing And Data Analytics written by Himanshu Mittal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-26 with Computers categories.
This book is a collection of selected high-quality research papers presented at the International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2024), held at Pt. Lalit Mohan Sharma Campus, Rishikesh, Sri Dev Suman Uttarakhand University, Uttarakhand, India, during 20–21 April 2024. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of the latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.
Communication Efficient Federated Learning For Wireless Networks
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Author : Mingzhe Chen
language : en
Publisher: Springer Nature
Release Date : 2024-02-19
Communication Efficient Federated Learning For Wireless Networks written by Mingzhe Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-19 with Computers categories.
This book provides a comprehensive study of Federated Learning (FL) over wireless networks. It consists of three main parts: (a) Fundamentals and preliminaries of FL, (b) analysis and optimization of FL over wireless networks, and (c) applications of wireless FL for Internet-of-Things systems. In particular, in the first part, the authors provide a detailed overview on widely-studied FL framework. In the second part of this book, the authors comprehensively discuss three key wireless techniques including wireless resource management, quantization, and over-the-air computation to support the deployment of FL over realistic wireless networks. It also presents several solutions based on optimization theory, graph theory and machine learning to optimize the performance of FL over wireless networks. In the third part of this book, the authors introduce the use of wireless FL algorithms for autonomous vehicle control and mobile edge computing optimization. Machine learning and data-driven approaches have recently received considerable attention as key enablers for next-generation intelligent networks. Currently, most existing learning solutions for wireless networks rely on centralizing the training and inference processes by uploading data generated at edge devices to data centers. However, such a centralized paradigm may lead to privacy leakage, violate the latency constraints of mobile applications, or may be infeasible due to limited bandwidth or power constraints of edge devices. To address these issues, distributing machine learning at the network edge provides a promising solution, where edge devices collaboratively train a shared model using real-time generated mobile data. The avoidance of data uploading to a central server not only helps preserve privacy but also reduces network traffic congestion as well as communication cost. Federated learning (FL) is one of most important distributed learning algorithms. In particular, FL enables devices to train a shared machine learning model while keeping data locally. However, in FL, training machine learning models requires communication between wireless devices and edge servers over wireless links. Therefore, wireless impairments such as noise, interference, and uncertainties among wireless channel states will significantly affect the training process and performance of FL. For example, transmission delay can significantly impact the convergence time of FL algorithms. In consequence, it is necessary to optimize wireless network performance for the implementation of FL algorithms. This book targets researchers and advanced level students in computer science and electrical engineering. Professionals working in signal processing and machine learning will also buy this book.
Advances In Cryptology Asiacrypt 2024
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Author : Kai-Min Chung
language : en
Publisher: Springer Nature
Release Date : 2024-12-08
Advances In Cryptology Asiacrypt 2024 written by Kai-Min Chung and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-08 with Computers categories.
The 9 volume set LNCS 15484-15492 constitutes the refereed proceedings of the 30th International Conference on the Theory and Application of Cryptology and Information Security, ASIACRYPT 2024, which took place in Kolkata, India, during December 9–13, 2024. The 127 full papers included in the proceedings were carefully reviewed and selected from 433 submissions. They were organized in topical sections as follows: Advances Primitives; homomorphic encryption; digital signatures; public-key cryptography; pairing-based cryptography, threshold cryptography; isogeny-based cryptography; post-quantum cryptography; secure data structures; lattice-based cryptography; lattice assumptions; key exchange protocols; succinct arguments; verifiable computation, zero-knowledge protocols; secure multiparty computation; blockchain protocols; information theoretic cryptography; secret sharing; security against physical attacks; cryptanalysis on symmetric-key schemes; cryptanalysis on public-key schemes; fault attacks and side-channel analysis; cryptanalysis on various problems; quantum cryptanalysis; quantum cryptography; symmetric-key cryptography.
Wireless Sensor Networks
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Author : Lei Wang
language : en
Publisher: Springer Nature
Release Date : 2024-02-29
Wireless Sensor Networks written by Lei Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Computers categories.
This book constitutes the refereed proceedings of the 17th China Conference on Wireless Sensor Networks, CWSN 2023, which took place in Dalian, China, in October 2023. The 22 full papers presented in this volume were carefully reviewed and selected from 105 submissions, including 38 English papers and 67 Chinese papers. The conference provided an academic exchange of research and a development forum for IoT researchers, developers, enterprises, and users. Exchanging results and experience of research and applications in IoT, and discussing the key challenges and research hotspots, is the main goal of the forum. As a high-level forum for the design, implementation, and application of IoT, the conference promoted the exchange and application of the theories and technologies of IoT-related topics.