Privacy Preserving In Edge Computing

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Privacy-Preserving in Edge Computing

Author : Longxiang Gao
Publisher : Springer Nature
ISBN 13 : 9811621993
Total Pages : 113 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Privacy-Preserving in Edge Computing by : Longxiang Gao

Download or read book Privacy-Preserving in Edge Computing written by Longxiang Gao and published by Springer Nature. This book was released on 2021-06-01 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.

Cases on Edge Computing and Analytics

Author : Ambika, Paranthaman
Publisher : IGI Global
ISBN 13 : 1799848744
Total Pages : 327 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Cases on Edge Computing and Analytics by : Ambika, Paranthaman

Download or read book Cases on Edge Computing and Analytics written by Ambika, Paranthaman and published by IGI Global. This book was released on 2021-01-08 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge computing and analytics are fascinating the whole world of computing. Industry and business are keenly embracing this sound concept to develop customer-centric solutions by enhancing their operations, offerings, and outputs. There is a bevy of advancements in this domain that came with the arrival of IoT devices. The seamless convergence of microservices and serverless computing creates vast opportunities. With the help of IoT devices and these other developments, there has become a deep interest in business automation and additional improvisations in edge computing. With the steady growth of edge devices and applications of IoT fog/edge computing and analytics, there are also distinct challenges and threats. Research has been keenly focused on identifying and understanding these issues and shortcomings to bring viable solution approaches and algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices and computing. It addresses the key concerns of the edge computing paradigm, how they are processed, and the various technologies and tools empowering edge computing and analytics. While highlighting topics within edge computing such as the key drivers for implementation, computing capabilities, security considerations, and use-cases, this book is ideal for IT industry professionals and project managers, computer scientists, computer engineers, and practitioners, stakeholders, researchers, academicians, and students looking for research on the latest trends and transitions in edge computing.

Data Security and Privacy-Preserving in Edge Computing

Author : Manoranjini J.
Publisher :
ISBN 13 : 9781799885757
Total Pages : 0 pages
Book Rating : 4.8/5 (857 download)

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Book Synopsis Data Security and Privacy-Preserving in Edge Computing by : Manoranjini J.

Download or read book Data Security and Privacy-Preserving in Edge Computing written by Manoranjini J. and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Edge Computing

Author : K. Anitha Kumari
Publisher : CRC Press
ISBN 13 : 1000483592
Total Pages : 181 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Edge Computing by : K. Anitha Kumari

Download or read book Edge Computing written by K. Anitha Kumari and published by CRC Press. This book was released on 2021-12-22 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edge with Internet of Things (IoT) and cloud computing. It will facilitate readers to setup edge-based environment and work with edge analytics. It covers important topics, including cluster computing, fog computing, networking architecture, edge computing simulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with the edge computing system Covers theoretical methods with the help of applications, use cases, case studies, and examples Provides healthcare real-time case studies elaborated by utilizing the virtues of homomorphic encryption Discusses real-time interfaces, devices, and simulators in detail

Fog/Edge Computing For Security, Privacy, and Applications

Author : Wei Chang
Publisher : Springer Nature
ISBN 13 : 3030573281
Total Pages : 417 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Fog/Edge Computing For Security, Privacy, and Applications by : Wei Chang

Download or read book Fog/Edge Computing For Security, Privacy, and Applications written by Wei Chang and published by Springer Nature. This book was released on 2021-01-04 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the state-of-the-art development on security and privacy for fog/edge computing, together with their system architectural support and applications. This book is organized into five parts with a total of 15 chapters. Each area corresponds to an important snapshot. The first part of this book presents an overview of fog/edge computing, focusing on its relationship with cloud technology and the future with the use of 5G communication. Several applications of edge computing are discussed. The second part of this book considers several security issues in fog/edge computing, including the secure storage and search services, collaborative intrusion detection method on IoT-fog computing, and the feasibility of deploying Byzantine agreement protocols in untrusted environments. The third part of this book studies the privacy issues in fog/edge computing. It first investigates the unique privacy challenges in fog/edge computing, and then discusses a privacy-preserving framework for the edge-based video analysis, a popular machine learning application on fog/edge. This book also covers the security architectural design of fog/edge computing, including a comprehensive overview of vulnerabilities in fog/edge computing within multiple architectural levels, the security and intelligent management, the implementation of network-function-virtualization-enabled multicasting in part four. It explains how to use the blockchain to realize security services. The last part of this book surveys applications of fog/edge computing, including the fog/edge computing in Industrial IoT, edge-based augmented reality, data streaming in fog/edge computing, and the blockchain-based application for edge-IoT. This book is designed for academics, researchers and government officials, working in the field of fog/edge computing and cloud computing. Practitioners, and business organizations (e.g., executives, system designers, and marketing professionals), who conduct teaching, research, decision making, and designing fog/edge technology will also benefit from this book The content of this book will be particularly useful for advanced-level students studying computer science, computer technology, and information systems, but also applies to students in business, education, and economics, who would benefit from the information, models, and case studies therein.

Security and Privacy Preserving for IoT and 5G Networks

Author : Ahmed A. Abd El-Latif
Publisher : Springer Nature
ISBN 13 : 3030854280
Total Pages : 283 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Security and Privacy Preserving for IoT and 5G Networks by : Ahmed A. Abd El-Latif

Download or read book Security and Privacy Preserving for IoT and 5G Networks written by Ahmed A. Abd El-Latif and published by Springer Nature. This book was released on 2021-10-09 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research on security and privacy- preserving for IoT and 5G networks and applications. The accepted book chapters covered many themes, including traceability and tamper detection in IoT enabled waste management networks, secure Healthcare IoT Systems, data transfer accomplished by trustworthy nodes in cognitive radio, DDoS Attack Detection in Vehicular Ad-hoc Network (VANET) for 5G Networks, Mobile Edge-Cloud Computing, biometric authentication systems for IoT applications, and many other applications It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on security and privacy- preserving for IoT and 5G networks.

Privacy Preservation in Distributed Systems

Author : Guanglin Zhang
Publisher : Springer Nature
ISBN 13 : 3031580133
Total Pages : 266 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Privacy Preservation in Distributed Systems by : Guanglin Zhang

Download or read book Privacy Preservation in Distributed Systems written by Guanglin Zhang and published by Springer Nature. This book was released on with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Secure Edge Computing

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 1000427315
Total Pages : 305 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Secure Edge Computing by : Mohiuddin Ahmed

Download or read book Secure Edge Computing written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2021-08-12 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The internet is making our daily life as digital as possible and this new era is called the Internet of Everything (IoE). Edge computing is an emerging data analytics concept that addresses the challenges associated with IoE. More specifically, edge computing facilitates data analysis at the edge of the network instead of interacting with cloud-based servers. Therefore, more and more devices need to be added in remote locations without any substantial monitoring strategy. This increased connectivity and the devices used for edge computing will create more room for cyber criminals to exploit the system’s vulnerabilities. Ensuring cyber security at the edge should not be an afterthought or a huge challenge. The devices used for edge computing are not designed with traditional IT hardware protocols. There are diverse-use cases in the context of edge computing and Internet of Things (IoT) in remote locations. However, the cyber security configuration and software updates are often overlooked when they are most needed to fight cyber crime and ensure data privacy. Therefore, the threat landscape in the context of edge computing becomes wider and far more challenging. There is a clear need for collaborative work throughout the entire value chain of the network. In this context, this book addresses the cyber security challenges associated with edge computing, which provides a bigger picture of the concepts, techniques, applications, and open research directions in this area. In addition, the book serves as a single source of reference for acquiring the knowledge on the technology, process and people involved in next generation computing and security. It will be a valuable aid for researchers, higher level students and professionals working in the area.

Research Anthology on Privatizing and Securing Data

Author : Management Association, Information Resources
Publisher : IGI Global
ISBN 13 : 1799889556
Total Pages : 2188 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Privatizing and Securing Data by : Management Association, Information Resources

Download or read book Research Anthology on Privatizing and Securing Data written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-04-23 with total page 2188 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the immense amount of data that is now available online, security concerns have been an issue from the start, and have grown as new technologies are increasingly integrated in data collection, storage, and transmission. Online cyber threats, cyber terrorism, hacking, and other cybercrimes have begun to take advantage of this information that can be easily accessed if not properly handled. New privacy and security measures have been developed to address this cause for concern and have become an essential area of research within the past few years and into the foreseeable future. The ways in which data is secured and privatized should be discussed in terms of the technologies being used, the methods and models for security that have been developed, and the ways in which risks can be detected, analyzed, and mitigated. The Research Anthology on Privatizing and Securing Data reveals the latest tools and technologies for privatizing and securing data across different technologies and industries. It takes a deeper dive into both risk detection and mitigation, including an analysis of cybercrimes and cyber threats, along with a sharper focus on the technologies and methods being actively implemented and utilized to secure data online. Highlighted topics include information governance and privacy, cybersecurity, data protection, challenges in big data, security threats, and more. This book is essential for data analysts, cybersecurity professionals, data scientists, security analysts, IT specialists, practitioners, researchers, academicians, and students interested in the latest trends and technologies for privatizing and securing data.

Intelligent Internet of Things

Author : Farshad Firouzi
Publisher : Springer Nature
ISBN 13 : 3030303675
Total Pages : 647 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Intelligent Internet of Things by : Farshad Firouzi

Download or read book Intelligent Internet of Things written by Farshad Firouzi and published by Springer Nature. This book was released on 2020-01-21 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.

Secure Edge Computing for IoT

Author : Oluyemi James Odeyinka
Publisher : Orange Education Pvt Ltd
ISBN 13 : 8197256292
Total Pages : 417 pages
Book Rating : 4.1/5 (972 download)

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Book Synopsis Secure Edge Computing for IoT by : Oluyemi James Odeyinka

Download or read book Secure Edge Computing for IoT written by Oluyemi James Odeyinka and published by Orange Education Pvt Ltd. This book was released on 2024-07-05 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Securing the Future of IoT with Advanced Edge Computing Solutions KEY FEATURES ● Tailored security protocols for edge computing, ensuring comprehensive protection against cyber threats. ● Master strategies for deploying, monitoring, and securing edge devices to maintain a resilient IoT ecosystem. ● Gain valuable insights from real-world examples, guiding you through the implementation of secure edge computing solutions across diverse industries. DESCRIPTION Embark on a journey into the cutting-edge world of secure edge computing. In this meticulously crafted handbook, delve deep into the intricacies of this transformative technology that is reshaping the landscape of computing. From its fundamental principles to advanced applications, this book leaves no stone unturned in demystifying the complexities of secure edge computing. Explore the architecture that underpins this paradigm shift, unraveling how it seamlessly integrates cloud resources with local devices to enhance efficiency and reliability. Dive into the nuances of security in edge computing, understanding the unique challenges posed by distributed networks and diverse endpoints. Learn essential strategies for safeguarding data integrity, confidentiality, and availability in this dynamic environment, ensuring robust protection against emerging threats. Discover real-world case studies and best practices from industry experts, gaining invaluable insights into deploying and managing secure edge computing solutions across various domains. With clear explanations, practical examples, and actionable advice, Secure Edge Computing For IoT empowers you to harness the full potential of this transformative technology while fortifying your digital infrastructure against evolving security risks. Prepare to embark on a journey of innovation and resilience at the edge of tomorrow’s computing landscape. WHAT WILL YOU LEARN ● Understand routing protocols and communication strategies tailored for edge environments. ● Implement measures to fortify edge infrastructure against cyber threats and safeguard sensitive data. ● Leverage real-time insights for informed decision-making and innovation. ● Integrate ML algorithms to enhance edge capabilities and optimize operations. ● Ensure reliability, scalability, and compliance with industry standards. ● Gain practical insights into the development process, from design to deployment. ● Protect edge infrastructure with encryption, authentication, and intrusion detection. ● Adhere to regulations and best practices in edge computing to ensure regulatory compliance and data privacy. ● Understand the components and architecture that underpin edge computing ecosystems. ● Explore practical examples and use cases from various industries to illustrate best practices and challenges in implementing secure edge computing solutions. WHO IS THIS BOOK FOR? This book is tailored for a diverse audience of IT professionals seeking to deepen their understanding of secure edge computing. It is particularly beneficial for DevOps engineers, system administrators, cloud architects, IoT developers, data analysts, and cybersecurity specialists. TABLE OF CONTENTS 1. Introduction to IoT and Edge Computing 2. Edge Computing Fundamentals and Use Cases 3. Edge Networking and Routing Protocols 4. IoT and Edge Computing Security 5. Data Analytics and Machine Learning at Edge 6. Secure Edge Design and Development 7. Secure Edge Penetration Testing and Incident Management 8. Edge Computing Cybersecurity and Cryptography 9. Cloud Computing in the Context of Edge Computing 10. Secure Edge Development and Implementation Index

Privacy Preservation in IoT: Machine Learning Approaches

Author : Youyang Qu
Publisher : Springer Nature
ISBN 13 : 9811917973
Total Pages : 127 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Privacy Preservation in IoT: Machine Learning Approaches by : Youyang Qu

Download or read book Privacy Preservation in IoT: Machine Learning Approaches written by Youyang Qu and published by Springer Nature. This book was released on 2022-04-27 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner. The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potentially promising research directions. Readers may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates.

Handbook of Research on Advances in Data Analytics and Complex Communication Networks

Author : P. Venkata Krishna
Publisher : IGI Global
ISBN 13 : 179987687X
Total Pages : 297 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Advances in Data Analytics and Complex Communication Networks by : P. Venkata Krishna

Download or read book Handbook of Research on Advances in Data Analytics and Complex Communication Networks written by P. Venkata Krishna and published by IGI Global. This book was released on 2021 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This edited book discusses data analytics and complex communication networks and recommends new methodologies, system architectures, and other solutions to prevail over the current limitations faced by the field"--

Privacy-Preserving Data Mining

Author : Charu C. Aggarwal
Publisher : Springer Science & Business Media
ISBN 13 : 0387709924
Total Pages : 524 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Privacy-Preserving Data Mining by : Charu C. Aggarwal

Download or read book Privacy-Preserving Data Mining written by Charu C. Aggarwal and published by Springer Science & Business Media. This book was released on 2008-06-10 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.

Information Security and Privacy

Author : Joonsang Baek
Publisher : Springer Nature
ISBN 13 : 3030905675
Total Pages : 715 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Information Security and Privacy by : Joonsang Baek

Download or read book Information Security and Privacy written by Joonsang Baek and published by Springer Nature. This book was released on 2021-11-03 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 26th Australasian Conference on Information Security and Privacy, ACISP 2021, held in Perth, WA, Australia, in November 2021. The 35 full papers presented were carefully revised and selected from 157 submissions. The papers present and discuss all aspects of information security and privacy as well as machine learning for privacy and much more.

Federated Learning

Author : Qiang Yang
Publisher : Springer Nature
ISBN 13 : 3030630765
Total Pages : 291 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Federated Learning by : Qiang Yang

Download or read book Federated Learning written by Qiang Yang and published by Springer Nature. This book was released on 2020-11-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”

Privacy-Preserving Deep Learning

Author : Kwangjo Kim
Publisher : Springer Nature
ISBN 13 : 9811637644
Total Pages : 81 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Privacy-Preserving Deep Learning by : Kwangjo Kim

Download or read book Privacy-Preserving Deep Learning written by Kwangjo Kim and published by Springer Nature. This book was released on 2021-07-22 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the state-of-the-art in privacy-preserving deep learning (PPDL), especially as a tool for machine learning as a service (MLaaS), which serves as an enabling technology by combining classical privacy-preserving and cryptographic protocols with deep learning. Google and Microsoft announced a major investment in PPDL in early 2019. This was followed by Google’s infamous announcement of “Private Join and Compute,” an open source PPDL tools based on secure multi-party computation (secure MPC) and homomorphic encryption (HE) in June of that year. One of the challenging issues concerning PPDL is selecting its practical applicability despite the gap between the theory and practice. In order to solve this problem, it has recently been proposed that in addition to classical privacy-preserving methods (HE, secure MPC, differential privacy, secure enclaves), new federated or split learning for PPDL should also be applied. This concept involves building a cloud framework that enables collaborative learning while keeping training data on client devices. This successfully preserves privacy and while allowing the framework to be implemented in the real world. This book provides fundamental insights into privacy-preserving and deep learning, offering a comprehensive overview of the state-of-the-art in PPDL methods. It discusses practical issues, and leveraging federated or split-learning-based PPDL. Covering the fundamental theory of PPDL, the pros and cons of current PPDL methods, and addressing the gap between theory and practice in the most recent approaches, it is a valuable reference resource for a general audience, undergraduate and graduate students, as well as practitioners interested learning about PPDL from the scratch, and researchers wanting to explore PPDL for their applications.