Federated Learning For Iot Applications

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Federated Learning For Iot Applications

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Author : Satya Prakash Yadav
language : en
Publisher: Springer Nature
Release Date : 2022-02-02

Federated Learning For Iot Applications written by Satya Prakash Yadav and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-02 with Technology & Engineering categories.

This book presents how federated learning helps to understand and learn from user activity in Internet of Things (IoT) applications while protecting user privacy. The authors first show how federated learning provides a unique way to build personalized models using data without intruding on users’ privacy. The authors then provide a comprehensive survey of state-of-the-art research on federated learning, giving the reader a general overview of the field. The book also investigates how a personalized federated learning framework is needed in cloud-edge architecture as well as in wireless-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, the book investigates emerging personalized federated learning methods that are able to mitigate the negative effects caused by heterogeneities in different aspects. The book provides case studies of IoT based human activity recognition to demonstrate the effectiveness of personalized federated learning for intelligent IoT applications, as well as multiple controller design and system analysis tools including model predictive control, linear matrix inequalities, optimal control, etc. This unique and complete co-design framework will benefit researchers, graduate students and engineers in the fields of control theory and engineering.

Applications Of Federated Learning In Technological Advancements

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Author : S. Jayachitra
language : en
Publisher: CRC Press
Release Date : 2025-09-02

Applications Of Federated Learning In Technological Advancements written by S. Jayachitra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-02 with Computers categories.

This book explores the applications and advancements of federated learning across diverse sectors, focusing on its integration with cutting- edge technologies like Internet of Things (IoT), artificial intelligence (AI), blockchain, and digital twins. Real-world examples and case studies illustrate federated learning’s role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into federated learning’s transformative potential, offering practical strategies for intelligent systems and sustainable environments. The book particularly: • Focuses on the federated learning–based model optimization, addressing the significance of IoT and federated learning in the evolution of intelligent systems for various applications; • Describes the different optimization techniques of federated learning systems from a practical point of view; • Highlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/ 6G communication, and computing standards; • Provides analysis of the use cases of federated learning regarding the development of IoT, AI, blockchain, digital twins; • Offers strategies for overcoming challenges associated with federated learning systems, including connectivity, computation, threats, privacy, and security issues. It covers fundamental concepts, practical implementations, and trends, to serve as a reference resource for professionals and researchers in the field.

Federated Learning For Smart Communication Using Iot Application

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Author : Kaushal Kishor
language : en
Publisher: CRC Press
Release Date : 2024-10-30

Federated Learning For Smart Communication Using Iot Application written by Kaushal Kishor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Computers categories.

The effectiveness of federated learning in high‐performance information systems and informatics‐based solutions for addressing current information support requirements is demonstrated in this book. To address heterogeneity challenges in Internet of Things (IoT) contexts, Federated Learning for Smart Communication using IoT Application analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoT‐based human activity recognition to show the efficacy of personalized federated learning for intelligent IoT applications. Features: • Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users’ privacy. • Describes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacy. • Presents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the area. • Analyses the need for a personalized federated learning framework in cloud‐edge and wireless‐edge architecture for intelligent IoT applications. • Comprises real‐life case illustrations and examples to help consolidate understanding of topics presented in each chapter. This book is recommended for anyone interested in federated learning‐based intelligent algorithms for smart communications.

Learning Techniques For The Internet Of Things

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Author : Praveen Kumar Donta
language : en
Publisher: Springer Nature
Release Date : 2024-02-19

Learning Techniques For The Internet Of Things written by Praveen Kumar Donta 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.

The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach. Chapter 4 provides various machine learning techniques in Industrial IoT to deliver rapid and accurate data analysis, essential for enhancing production quality, sustainability, and safety. Chapter discusses the potential role of data-driven technologies, such as Artificial Intelligence, Machine Learning, and Deep Learning, focuses on their integration with IoT communication technologies. Chapter 6 presents the requirements and challenges to realize IoT deployments in smart cities, including sensing infrastructure, Artificial Intelligence, computing platforms, and enabling communications technologies such as 5G networks. To highlight these challenges in practice, the chapter also presents a real-world case study of a city-scale deployment of IoT air quality monitoring within Helsinki city. Chapter 7 uses digital twins within smart cities to enhance economic progress and facilitate prompt decision-making regarding situational awareness. Chapter 8 provides insights into using Multi-Objective reinforcement learning in future IoT networks, especially for an efficient decision-making system. Chapter 9 offers a comprehensive review of intelligent inference approaches, with a specific emphasis on reducing inference time and minimizing transmitted bandwidth between IoT devices and the cloud. Chapter 10 summarizes the applications of deep learning models in various IoT fields. This chapter also presents an in-depth study of these techniques to examine new horizons of applications of deep learning models in different areas of IoT. Chapter 11 explores the integration of Quantum Key Distribution (QKD) into IoT systems. It delves into the potential benefits, challenges, and practical considerations of incorporating QKD into IoT networks. In chapter 12, a comprehensive overview regarding the current state of quantum IoT in the context of smart healthcare is presented, along with its applications, benefits, challenges, and prospects for the future. Chapter 13 proposes a blockchain-based architecture for securing and managing IoT data in intelligent transport systems, offering advantages like immutability, decentralization, and enhanced security.

Proceedings Of International Conference On Next Generation Communication And Computing

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Author : Devendra Kumar Sharma
language : en
Publisher: Springer Nature
Release Date : 2025-07-05

Proceedings Of International Conference On Next Generation Communication And Computing written by Devendra Kumar Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-05 with Technology & Engineering categories.

This book presents high-quality papers from the International Conference on Next-Generation Communication and Computing (NGCCOM 2024). It discusses the latest technological trends and advances in major research areas such as 5G and Beyond, Internet of Things (IoT), wireless communications, optical communication, signal processing, image processing, big data, cloud computing, intelligent computing, artificial intelligence and sensor network applications. This book includes the contributions of national and international scientists, researchers and engineers from both academia and the industry. The contents of this book will be useful to researchers, professionals and students alike.

Federated Learning For Smart Communications Using Iot Application

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Author : Kaushal Kishor
language : en
Publisher:
Release Date : 2025

Federated Learning For Smart Communications Using Iot Application written by Kaushal Kishor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Digital communications categories.

"The book aims to demonstrate the effectiveness of federated learning in high-performance information systems and informatics-based solutions for addressing current information support requirements. To address heterogeneity challenges in IoT contexts, it analyses the development of personalized federated learning algorithms capable of mitigating the detrimental consequences of heterogeneity in several dimensions. It includes case studies of IoT-based human activity recognition to demonstrate the efficacy of personalized federated learning for intelligent IoT applications. Demonstrates how federated learning offers a novel approach to building personalized models from data without invading users' privacy Describes how federated learning may assist in understanding and learning from user behavior in Internet of Things (IoT) applications while safeguarding user privacy Presents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the area Analyses the need for a personalized federated learning framework in cloud-edge and wireless-edge architecture for intelligent IoT applications Comprises real-life case illustrations and examples to help consolidate understanding of topics presented in each chapter This book is recommended for anybody interested in Federated Learning-based Intelligent Algorithms for Smart Communications"--

Infrastructure Possibilities And Human Centered Approaches With Industry 5 0

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Author : Khan, Mohammad Ayoub
language : en
Publisher: IGI Global
Release Date : 2024-01-25

Infrastructure Possibilities And Human Centered Approaches With Industry 5 0 written by Khan, Mohammad Ayoub and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-25 with Computers categories.

Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0 is a research book that serves as a comprehensive exploration of the potential impact of Industry 5.0 and the research opportunities presented by it, a new era of industrial revolution that integrates advanced technologies with human expertise and creativity. This book delves into the transformative effects of Industry 5.0 on society, with a particular focus on human-centric approaches and the key areas of agriculture, transportation, healthcare, and more. The book examines the revolutionary impact of Industry 5.0 in various domains. It explores the application of AI and machine learning in revolutionizing agriculture, improving livestock management, optimizing fertilizer usage, and detecting agricultural diseases. Additionally, it delves into the integration of advanced technologies in healthcare, including wearable devices, sensors, and robotics, to provide personalized and efficient healthcare services. Furthermore, the book explores the implications of Industry 5.0 on transportation, smart grid systems, and education. Throughout the discussion, the book addresses the ethical and social considerations associated with Industry 5.0, such as privacy, data protection, and social inequality. Written for research scholars, graduate engineering students, and postgraduate students in the fields of computer science, agriculture, and health engineering, this book serves as a valuable resource for understanding the transformative potential of Industry 5.0.

Dynamics Of Disasters

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Author : Ilias S. Kotsireas
language : en
Publisher: Springer Nature
Release Date : 2024-12-23

Dynamics Of Disasters written by Ilias S. Kotsireas and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-23 with Mathematics categories.

Based on the “Sixth International Conference on Dynamics of Disasters” (Piraeus, Greece, July 2023), this volume includes contributions from experts who share their latest discoveries on disasters either caused by natural phenomena or human activities. Authors provide overviews of the tactical points involved in disaster relief, outlines of hurdles from mitigation and preparedness to response and recovery and uses for mathematical models to describe disasters and their impacts. This volume includes additional invited manuscripts from other experts and leaders in the field. Topics covered include economics, optimization, machine learning, government, management, business, humanities, engineering, medicine, mathematics, computer science, behavioral studies, emergency services, and environmental studies and will engage readers from a wide variety of fields and backgrounds.

International Conference On Smart Systems And Emerging Technologies

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Author : Anis Koubaa
language : en
Publisher: Springer Nature
Release Date :

International Conference On Smart Systems And Emerging Technologies written by Anis Koubaa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.

Cloud Based Intelligent Informative Engineering For Society 5 0

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Author : Kaushal Kishor
language : en
Publisher: CRC Press
Release Date : 2023-04-05

Cloud Based Intelligent Informative Engineering For Society 5 0 written by Kaushal Kishor and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-05 with Computers categories.

Cloud-based Intelligent Informative Engineering for Society 5.0 is a model for the dissemination of cutting-edge technological innovation and assistive devices for people with physical impairments. This book showcases Cloud-based, high-performance Information systems and Informatics-based solutions for the verification of the information support requirements of the modern engineering, healthcare, modern business, organization, and academic communities. Features: Includes broad variety of methodologies and technical developments to improve research in informative engineering Explore the Internet of Things (IoT), blockchain technology, deep learning, data analytics, and cloud Highlight Cloud-based high-performance Information systems and Informatics-based solutions This book is beneficial for graduate students and researchers in computer sciences, cloud computing and related subject areas.