Sandeep Kautish - Demystifying Federated Learning for Blockchain and Industrial Internet of Things

Demystifying Federated Learning for Blockchain and Industrial Internet of Things

• Sandeep Kautish
  Lord Buddha Education Foundation, Nepal
• Gaurav Dhiman
  Government Bikram College of Commerce, India

A volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series Book Series

Published in the United States of America by IGI Global (an imprint of IGI Global) 701 E. Chocolate Avenue Hershey PA 17033 Tel: 717-533-8845 Fax: 717-533-8661 E-mail: cust@igi-global.com Web site: http://www.igi-global.com/reference

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Library of Congress Cataloging-in-Publication Data

Names: Kautish, Sandeep, editor. | Dhiman, Gaurav, 1993- editor.
Title: Demystifying federated learning for blockchain and industrial
Internet of Things / Sandeep Kautish, and Gaurav Dhiman, editors.
Description: Hershey, PA : Engineering Science Reference, an imprint of IGI
Global, [2022] | Includes bibliographical references and index. |
Summary: "The purpose of this book is to rediscover, redefine, and
reestablish the most recent applications of Federated Learning using
blockchain and IoT to optimize data for next-generation networks"-
Provided by publisher.
Identifiers: LCCN 2022001860 (print) | LCCN 2022001861 (ebook) | ISBN
9781668437339 (h/c) | ISBN 9781668437346 (s/c) | ISBN 9781668437353
(ebook)
Subjects: LCSH: Blockchains (Databases)--Industrial applications. |
Internet of things--Industrial applications.
Classification: LCC QA76.9.B56 D46 2022 (print) | LCC QA76.9.B56 (ebook)
| DDC 005.74--dc23/eng/20220401
LC record available at https://lccn.loc.gov/2022001860
LC ebook record available at https://lccn.loc.gov/2022001861

This book is published under the IGI Global book series Advances in Computational Intelligence and Robotics (ACIR) (ISSN: 2327-0411 eISSN: 2327-042X)

British Cataloguing in Publication Data

A Cataloguing in Publication record for this book is available from the British Library.

All work contributed to this book is new, previously-unpublished material. The views expressed in this book are those of the authors, but not necessarily of the publisher.

Advances in Computational Intelligence and Robotics (ACIR) Book Series Ivan Giannoccaro (University of Salento, Italy) ISSN: 2327-0411

While intelligence is traditionally a term applied to humans and human cognition, technology has progressed in such a way to allow for the development of intelligent systems able to simulate many human traits. With this new era of simulated and artificial intelligence, much research is needed in order to continue to advance the field and also to evaluate the ethical and societal concerns of the existence of artificial life and machine learning.

The Advances in Computational Intelligence and Robotics (ACIR) Book Series encourages scholarly discourse on all topics pertaining to evolutionary computing, artificial life, computational intelligence, machine learning, and robotics. ACIR presents the latest research being conducted on diverse topics in intelligence technologies with the goal of advancing knowledge and applications in this rapidly evolving field.

The Advances in Computational Intelligence and Robotics (ACIR) Book Series(ISSN 2327-0411) is published by IGI Global, 701 E. Chocolate Avenue, Hershey, PA 17033-1240, USA, www.igi-global.com. This series is composed of titlesavailable for purchase individually; each title is edited to be contextually exclusive from any other title within the series. For pricing and ordering information please visit http://www.igi-global.com/book-series/advances-computational-intelligence-robotics/73674. Postmaster: send all address changes to above address. Copyright 2022 IGI Global. All rights, including translation in other languages reserved by the pulisher. No part of this series may be reproduced or used in any form or by any means - graphics, electronic, or mechanical, including photocopying, recoreding, taping, or information and retrieval systems - without written permission from the publisher, except for non commercial, educational use, including classroom teaching purposes. The views expressed in this series are those of the authors, but not necessarily of IGI Global

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