Federated Learning For Smart Communications Using Iot Application
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Federated Learning For Smart Communication Using Iot Application
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Author : Kaushal Kishor
language : en
Publisher: Chapman & Hall/CRC
Release Date : 2024-10-30
Federated Learning For Smart Communication Using Iot Application written by Kaushal Kishor and has been published by Chapman & Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Computers 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.
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"--
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.
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.
Advancements In Cloud Based Intelligent Informative Engineering
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Author : Kishor, Kaushal
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Advancements In Cloud Based Intelligent Informative Engineering written by Kishor, Kaushal and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
In this ever-changing world, the rapid evolution of cloud computing and AI has paved the way for advancements in cloud-based intelligent engineering. This emerging field integrates cloud computing, big data, and AI to enhance the efficiency and automation of engineering processes. By leveraging cloud-based intelligent systems, industries can optimize data management, improve real-time collaboration, and drive innovation across various engineering domains. Advancements in Cloud-Based Intelligent Informative Engineering explores technological advancements and devices in cloud technology. It examines cloud-based intelligent system approaches and developments in informative engineering. This book covers topics such as IoT, machine learning, and blockchain, and is a useful resource for researchers, engineers, business owners, academicians, and scientists.
Establishing Ai Specific Cloud Computing Infrastructure
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Author : Sharma, Avinash Kumar
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Establishing Ai Specific Cloud Computing Infrastructure written by Sharma, Avinash Kumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
As artificial intelligence (AI) continues to drive innovation across industries, the need for specialized cloud computing infrastructure to support AI workloads is critical. Traditional cloud platforms often struggle to meet the high computational demands and storage requirements of AI models, especially as they grow in complexity and scale. Establishing AI-specific cloud computing infrastructure involves designing systems optimized for the needs of AI, such as powerful processing capabilities, massive data storage, and real-time processing. With advancements in hardware like graphics processing units and tensor processing units, along with sophisticated data management solutions, businesses can better harness the full potential of AI technologies. This specialized infrastructure enhances the performance and scalability of AI applications while enabling faster innovation and more efficient deployment of AI-driven solutions across sectors. Establishing AI-Specific Cloud Computing Infrastructure explores how AI has evolved as a transformative new technology, capable of delivering large incremental value to a wide range of sectors. It examines recent advances in innovation, specifically how computing power, data storage, and digitized data have led to AI-based applications for business and governance. This book covers topics such as digital technology, sustainable development, and artificial intelligence, and is a useful resource for computer engineers, business owners, academicians, data scientists, and researchers.
Responsible Innovation In Smart Healthcare Ai Iot And Ethical Sustainability Practices
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Author : Sheih, Chich-Jen
language : en
Publisher: IGI Global
Release Date : 2025-07-25
Responsible Innovation In Smart Healthcare Ai Iot And Ethical Sustainability Practices written by Sheih, Chich-Jen and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-25 with Medical categories.
The advancement of smart healthcare technologies has transformed how medical services are delivered, monitored, and personalized. As these innovations improve patient outcomes, operational efficiency, and predictive care, they also raise critical ethical and sustainability concerns. Responsible innovation requires a balance between technological progress and the ethical, social, and environmental implications of intelligent tools. This includes ensuring data privacy, addressing algorithmic bias, promoting equitable access, and minimizing environmental impact. By integrating ethical sustainability practices into the design and usage of AI and IoT in healthcare, organizations can foster an inclusive, transparent, and resilient healthcare system. Responsible Innovation in Smart Healthcare: AI, IoT, and Ethical Sustainability Practices explores the integration of AI and IoT in smart healthcare systems, focusing on how these technologies improve care delivery and patient outcomes. It explains the importance of responsible innovation by addressing ethical, social, and environmental considerations to ensure sustainable and equitable healthcare solutions. This book covers topics such as machine learning, ethics and law, and patient monitoring, and is a useful resource for medical professionals, computer engineers, academicians, researchers, and scientists.
Federated Learning Systems
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Author : Muhammad Habib ur Rehman
language : en
Publisher: Springer Nature
Release Date : 2021-06-11
Federated Learning Systems written by Muhammad Habib ur Rehman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Technology & Engineering categories.
This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.
Ai Driven Healthcare Cybersecurity And Privacy
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Author : Kulkarni, Shrikaant
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Ai Driven Healthcare Cybersecurity And Privacy written by Kulkarni, Shrikaant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Medical categories.
As healthcare systems adopt advanced technologies like electronic health records, telemedicine, and wearable health devices, the volume of sensitive information grows, making it a target for cyberattacks. Artificial intelligence (AI) enhances security by offering real-time threat detection, anomaly identification, and adaptive defenses that can anticipate and counter cyber threats. AI plays a pivotal role in ensuring privacy by implementing advanced encryption techniques, access controls, and compliance monitoring, all while maintaining patient care. Further research of the integration of AI into healthcare cybersecurity strategies may assist organizations in strengthening their defenses, protecting patient confidentiality, and ensuring regulatory compliance in a digital landscape. AI-Driven Healthcare Cybersecurity and Privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients’ medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.
Advanced Systems For Monitoring Carbon Sequestration
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Author : Pandey, Hari Mohan
language : en
Publisher: IGI Global
Release Date : 2025-04-17
Advanced Systems For Monitoring Carbon Sequestration written by Pandey, Hari Mohan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
Advanced systems, such as artificial intelligence (AI), blockchain, and Internet of Things (IoT), have transformative potential in creating intelligent and sustainable solutions for the sequestration management of carbon emissions. Carbon sequestration is important in fighting global warming, and the optimization of carbon shifts markets to a low-carbon economy. They also have real-world applications in areas like agriculture, healthcare, energy, supply chains, and conservation. These practical applications and future trends are critical for understanding and advancing the role of technology in sustainability for a greener and more equitable future. Advanced Systems for Monitoring Carbon Sequestration encourages the development of new tools, algorithms, and platforms for energy efficiency, resource optimization, and environmental conservation. It provides evidence-based recommendations and frameworks that organizations can use to create actionable strategies. Covering topics such as carbon flux modelling, big data platforms, and security protocols, this book is an excellent resource for environmentalists, engineers, computer scientists, business owners, policymakers, researchers, academicians and more.