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Destinazione, tempi e costiDa: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 47731212
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
Condizione: As New. Unread book in perfect condition. Codice articolo 47731212
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Codice articolo 394452636
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L1-9781032788128
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Kaushal KishorHe received his Ph.D. in Computer science and engineering from AKTU Lucknow, in the domain of Mobile Ad hoc Network. M.Tech & B.Tech in Computer Science & Engineering from UPTU Lucknow. Currently, he is working in . Codice articolo 1600078769
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26401957187
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Da: Grand Eagle Retail, Fairfield, OH, U.S.A.
Hardcover. Condizione: new. Hardcover. The effectiveness of federated learning in highperformance information systems and informaticsbased 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 IoTbased 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 privacyDescribes how federated learning may assist in understanding and learning from user behavior in IoT applications while safeguarding user privacyPresents a detailed analysis of current research on federated learning, providing the reader with a broad understanding of the areaAnalyses the need for a personalized federated learning framework in cloudedge and wirelessedge architecture for intelligent IoT applicationsComprises reallife case illustrations and examples to help consolidate understanding of topics presented in each chapterThis book is recommended for anyone interested in federated learningbased intelligent algorithms for smart communications. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781032788128
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L1-9781032788128
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