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Privacy-Preserving Machine Learning
Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. In Privacy Preserving Machine Learning, you will learn: Privacy considerations in machine learning Differential privacy techniques for machine learning Privacy-preserving synthetic data generation Privacy-enhancing technologies for data mining and database applications Compressive privacy for machine learning Privacy-Preserving Machine Learning is a comprehensive guide to avoiding data breaches in your machine learning projects. You’ll get to grips with modern privacy-enhancing techniques such as differential privacy, compressive privacy, and synthetic data generation....
4G Wireless Communication Networks
This book is a detailed compendium of these major advancements focusing exclusively on the emerging broadband wireless communication technologies which support broadband wireless data rate transmissions.
Federated Learning for Future Intelligent Wireless Networks
Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers deliver a robust and insightful collection of resources covering the foundational concepts and algorithms powering federated learning, as well as explanations of how they can be used in wireless communication systems. The editors have included works that examine how communication resource provision affects federated learning performance, accuracy, convergence, scalability, and security and privacy. Readers will explore a wide range of topics that show how...
Planning and Optimisation of 3g and 4g Wireless Networks
Packed with details of the technologies that support each network type, this cutting-edge reference leads the reader step by step on how to plan and optimize various types of wireless networks. It examines current and emerging network planning and enhancement techniques.
The Routledge Companion to Mobile Media
The last decade has witnessed the rise of the cell phone from a mode of communication to an indispensable multimedia device, and this phenomenon has led to the burgeoning of mobile communication studies in media, cultural studies, and communication departments across the academy. The Routledge Companion to Mobile Media seeks to be the definitive publication for scholars and students interested in comprehending all the various aspects of mobile media. This collection, which gathers together original articles by a global roster of contributors from a variety of disciplines, sets out to contextualize the increasingly convergent areas surrounding social, geosocial, and mobile media discourses. F...
Computational Intelligence in Data Mining
The book presents high quality papers presented at the International Conference on Computational Intelligence in Data Mining (ICCIDM 2016) organized by School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India during December 10 – 11, 2016. The book disseminates the knowledge about innovative, active research directions in the field of data mining, machine and computational intelligence, along with current issues and applications of related topics. The volume aims to explicate and address the difficulties and challenges that of seamless integration of the two core disciplines of computer science.
Big Data and Cloud Computing
The book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.
Digital Strategies And Organizational Transformation
In today's highly competitive business environments, with the rise of digital businesses and digital economy, digital strategies and organizational changes go hand in hand. Organizations that possess a robust digital strategy benefit greatly from the advancements of emerging digital technologies, and hence, making necessary organizational changes in order to maximise the benefits have become vital for their survival. According to MIT Sloan's Center for Information Systems Research (CISR), '[i]n this period of digital disruption, businesses focused narrowly on value chains are at a disadvantage'. Next-generation enterprises need to think more broadly about their business ecosystems, leverage ...
NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet
This book constitutes the refereed proceedings of the 7th International IFIP-TC6 Networking Conference, NETWORKING 2008, held in Singapore, in May 2008. The 82 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on ad hoc and sensor networks: design and optimization, MAC protocol, overlay networking, and routing; next generation internet: authentication, modeling and performance evaluation, multicast, network measurement and testbed, optical networks, peer-to-peer and overlay networking, peer-to-peer services, QoS, routing, security, traffic engineering, and transport protocols; wireless networks: MAC performance, mesh networks, and mixed networks.
Security and Risk Analysis for Intelligent Cloud Computing
This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, and ML/DL in cloud security. This book is designed for security and risk assessment professionals, and to help undergraduate, postgraduate students, research scholars, academicians, and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security conc...
