Information Theory New Trends and Open Problems

Information Theory New Trends and Open Problems
Title Information Theory New Trends and Open Problems PDF eBook
Author G. Longo
Publisher Springer
Pages 340
Release 2014-05-04
Genre Computers
ISBN 3709127300

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Information Theory

Information Theory
Title Information Theory PDF eBook
Author Imre Csiszár
Publisher Elsevier
Pages 465
Release 2014-07-10
Genre Mathematics
ISBN 1483281574

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Information Theory: Coding Theorems for Discrete Memoryless Systems presents mathematical models that involve independent random variables with finite range. This three-chapter text specifically describes the characteristic phenomena of information theory. Chapter 1 deals with information measures in simple coding problems, with emphasis on some formal properties of Shannon's information and the non-block source coding. Chapter 2 describes the properties and practical aspects of the two-terminal systems. This chapter also examines the noisy channel coding problem, the computation of channel capacity, and the arbitrarily varying channels. Chapter 3 looks into the theory and practicality of multi-terminal systems. This book is intended primarily for graduate students and research workers in mathematics, electrical engineering, and computer science.

Selected Unsolved Problems in Coding Theory

Selected Unsolved Problems in Coding Theory
Title Selected Unsolved Problems in Coding Theory PDF eBook
Author David Joyner
Publisher Springer Science & Business Media
Pages 211
Release 2011-08-26
Genre Mathematics
ISBN 0817682562

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Using an original mode of presentation, and emphasizing the computational nature of the subject, this book explores a number of the unsolved problems that still exist in coding theory. A well-established and highly relevant branch of mathematics, the theory of error-correcting codes is concerned with reliably transmitting data over a ‘noisy’ channel. Despite frequent use in a range of contexts, the subject still contains interesting unsolved problems that have resisted solution by some of the most prominent mathematicians of recent decades. Employing Sage—a free open-source mathematics software system—to illustrate ideas, this book is intended for graduate students and researchers in algebraic coding theory. The work may be used as supplementary reading material in a graduate course on coding theory or for self-study.

Advances and Open Problems in Federated Learning

Advances and Open Problems in Federated Learning
Title Advances and Open Problems in Federated Learning PDF eBook
Author Peter Kairouz
Publisher
Pages 226
Release 2021-06-23
Genre
ISBN 9781680837889

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The term Federated Learning was coined as recently as 2016 to describe a machine learning setting where multiple entities collaborate in solving a machine learning problem, under the coordination of a central server or service provider. Each client's raw data is stored locally and not exchanged or transferred; instead, focused updates intended for immediate aggregation are used to achieve the learning objective.Since then, the topic has gathered much interest across many different disciplines and the realization that solving many of these interdisciplinary problems likely requires not just machine learning but techniques from distributed optimization, cryptography, security, differential privacy, fairness, compressed sensing, systems, information theory, statistics, and more.This monograph has contributions from leading experts across the disciplines, who describe the latest state-of-the art from their perspective. These contributions have been carefully curated into a comprehensive treatment that enables the reader to understand the work that has been done and get pointers to where effort is required to solve many of the problems before Federated Learning can become a reality in practical systems.Researchers working in the area of distributed systems will find this monograph an enlightening read that may inspire them to work on the many challenging issues that are outlined. This monograph will get the reader up to speed quickly and easily on what is likely to become an increasingly important topic: Federated Learning.

General Theory of Information Transfer and Combinatorics

General Theory of Information Transfer and Combinatorics
Title General Theory of Information Transfer and Combinatorics PDF eBook
Author Rudolf Ahlswede
Publisher Springer Science & Business Media
Pages 1138
Release 2006-12-14
Genre Computers
ISBN 3540462449

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This book collects 63 revised, full-papers contributed to a research project on the "General Theory of Information Transfer and Combinatorics" that was hosted from 2001-2004 at the Center for Interdisciplinary Research (ZIF) of Bielefeld University and several incorporated meetings. Topics covered include probabilistic models, cryptology, pseudo random sequences, quantum models, pattern discovery, language evolution, and network coding.

Summaries of Projects Completed

Summaries of Projects Completed
Title Summaries of Projects Completed PDF eBook
Author National Science Foundation (U.S.)
Publisher
Pages 488
Release
Genre Engineering
ISBN

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Summaries of Projects Completed in Fiscal Year ...

Summaries of Projects Completed in Fiscal Year ...
Title Summaries of Projects Completed in Fiscal Year ... PDF eBook
Author National Science Foundation (U.S.)
Publisher
Pages 476
Release 1977
Genre Engineering
ISBN

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