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As data becomes more abundant and widespread across personal devices, the need for secure, privacy-aware machine learning is growing. Federated Learning (FL) offers a promising solution, enabling smart devices to collaboratively train models without sharing raw data.
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They are organized in topical sections on machine learning, deep... Læs mere
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This book describes the evolving CBRN risk landscape and highlights advances in the “core” CBRN technologies, including when combined with (improvised) explosive devices (CBRNe threats).
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This open access book provides the first comprehensive collection of papers that provide an integrative view on cybersecurity. The book has a strong practical focus as it... Læs mere
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This book strives to take stock of current achievements and existing challenges in nuclear verification, identify the available information and gaps that can act as drivers for exploring new approaches to verification strategies and technologies.
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Tools and technologies have long complemented and extended our physical abilities: from pre-historic spearheads to steam-propelled ploughs and high-tech prosthetics.
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This textbook introduces new business concepts on cloud environments such as secure, scalable anonymity and practical payment protocols for the Internet... Læs mere
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This book provides a comprehensive analysis of Brooks-Iyengar Distributed Sensing Algorithm, which brings together the power of Byzantine Agreement and sensor fusion in building a fault-tolerant distributed sensor network.
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This book proposes essential methods, models, and case studies for Sustainable Logistics and Production in Industry... Læs mere
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This book addresses automated software fingerprinting in binary code, especially for cybersecurity applications.