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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies (Security)
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 110.46
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Split Federated Learning for Secure IoT Applications : Concepts, Frameworks, Applications and Case Studies
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 115.72
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Split Federated Learning for Secure IoT Applications : Concepts, Frameworks, Applications and Case Studies
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 117.90
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Split Federated Learning for Secure IoT Applications : Concepts, Frameworks, Applications and Case Studies
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 108.42
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Split Federated Learning for Secure IoT Applications : Concepts, Frameworks, Applications and Case Studies
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 113.82
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies (Security)
Published by The Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 128.83
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Split Federated Learning for Secure IoT Applications (Hardcover)
Published by Institution of Engineering and Technology, Stevenage, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
Hardcover. Condition: new. Hardcover. New approaches in federated learning and split learning have the potential to significantly improve ubiquitous intelligence in internet of things (IoT) applications. In split federated learning, the machine learning model is divided into smaller network segments, with each segment trained independently on a server using distributed local client data.The split learning method mitigates two fundamental drawbacks of federated learning: affordability, and privacy and security. When running machine learning computation on devices with limited resources, assigning only a portion of the network to train at the client-side minimizes the processing burden, compared to running a complete network as in federated learning. In addition, neither client nor server has full access to the other, which is more secure.This book reviews cutting edge technologies and advanced research in split federated learning. Coverage includes approaches to realizing and evaluating the effectiveness and advantages of federated learning and split-fed learning, the role of this technology in advancing and securing IoTs, advanced research on emerging AI models for preserving the privacy of the data owned by the clients, and the analysis and development of AI mechanisms in IoT architectures and applications. The use of split federated learning in natural language processing, recommendation systems, healthcare systems, emotion detection, smart agriculture, smart transportation and smart cities is discussed.Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies offers useful insights to the latest developments in the field for researchers, engineers and scientists in academia and industry, who are working in computing, AI, data science and cybersecurity with a focus on federated learning, machine learning and deep learning. This book will review cutting edge technologies and advanced research, which can realize and evaluate the effectiveness and advantages of SplitFed learning for advancing and securing IoTs. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies (Security)
Published by Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 136.50
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New.
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Split Federated Learning for Secure Iot Applications: Concepts, Frameworks, Applications and Case Studies
Published by Inst of Engineering & Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
Hardcover. Condition: Brand New. 265 pages. 9.25x6.25x0.75 inches. In Stock.
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Split Federated Learning for Secure IoT Applications (Hardcover)
Published by Institution of Engineering and Technology, Stevenage, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 120.63
Convert currency£ 37.24 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. New approaches in federated learning and split learning have the potential to significantly improve ubiquitous intelligence in internet of things (IoT) applications. In split federated learning, the machine learning model is divided into smaller network segments, with each segment trained independently on a server using distributed local client data.The split learning method mitigates two fundamental drawbacks of federated learning: affordability, and privacy and security. When running machine learning computation on devices with limited resources, assigning only a portion of the network to train at the client-side minimizes the processing burden, compared to running a complete network as in federated learning. In addition, neither client nor server has full access to the other, which is more secure.This book reviews cutting edge technologies and advanced research in split federated learning. Coverage includes approaches to realizing and evaluating the effectiveness and advantages of federated learning and split-fed learning, the role of this technology in advancing and securing IoTs, advanced research on emerging AI models for preserving the privacy of the data owned by the clients, and the analysis and development of AI mechanisms in IoT architectures and applications. The use of split federated learning in natural language processing, recommendation systems, healthcare systems, emotion detection, smart agriculture, smart transportation and smart cities is discussed.Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies offers useful insights to the latest developments in the field for researchers, engineers and scientists in academia and industry, who are working in computing, AI, data science and cybersecurity with a focus on federated learning, machine learning and deep learning. This book will review cutting edge technologies and advanced research, which can realize and evaluate the effectiveness and advantages of SplitFed learning for advancing and securing IoTs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies (Security)
Published by Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 155.67
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New.
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Split Federated Learning for Secure Iot Applications : Concepts, Frameworks, Applications and Case Studies
Published by Institution Of Engineering & Technology Okt 2024, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 154.85
Convert currency£ 12.15 shipping from Germany to United KingdomQuantity: 2 available
Add to basketBuch. Condition: Neu. Neuware - This book will review cutting edge technologies and advanced research, which can realize and evaluate the effectiveness and advantages of SplitFed learning for advancing and securing IoTs.
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies (Security)
Published by Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
£ 177.12
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Add to basketHardback. Condition: New.
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies (Security)
Published by Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
£ 140.19
Convert currency£ 85.64 shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New.
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Split Federated Learning for Secure IoT Applications: Concepts, frameworks, applications and case studies
Published by Institution of Engineering and Technology, 2024
ISBN 10: 1839539453 ISBN 13: 9781839539459
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 132.95
Convert currencyFree shipping within United KingdomQuantity: Over 20 available
Add to basketHardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
