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Aditya Tyagi (18 results)
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Risk and Reliability Analysis: A Handbook for Civil and Environmental Engineers
Language: English
Published by American Society of Civil Engineers, 2007
ISBN 10: 0784408912 ISBN 13: 9780784408919
Hardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Condition: As New. Unread book in perfect condition.
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Federated Learning in Finance : Unlocking Privacy-preserving and Cyber Resilience Using Ai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Federated Learning in Finance : Unlocking Privacy-preserving and Cyber Resilience Using Ai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI
Language: English
Published by Taylor & Francis Ltd, 2026
ISBN 10: 1041115105 ISBN 13: 9781041115106
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 150.43
£ 16.01 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Condition: New. Dr. Swati Sah is currently serving as a Professor at Sharda University, India. Prior to this, she held an academic position at Amity University, Uzbekistan. In May 2018, she was appointed as Head of the Department of Computer Science at Patan Coll.
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Hardcover. Condition: Brand New. 328 pages. 10.00x7.00x10.24 inches. In Stock.
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Risk and Reliability Analysis: A Handbook for Civil and Environmental Engineers
Language: English
Published by American Society of Civil Engineers, 2007
ISBN 10: 0784408912 ISBN 13: 9780784408919
Hardcover. Condition: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.
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Federated Learning in Finance : Unlocking Privacy-Preserving and Cyber Resilience using AI
Language: English
Published by Taylor & Francis Ltd Mai 2026, 2026
ISBN 10: 1041115105 ISBN 13: 9781041115106
Buch. Condition: Neu. Neuware - Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI is an edited volume designed to explore how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations, all while keeping sensitive financial data secure and distributed.
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Federated Learning in Finance (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1041115105 ISBN 13: 9781041115106
Hardcover. Condition: new. Hardcover. Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI is an edited volume designed to explore how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations, all while keeping sensitive financial data secure and distributed.This book provides a comprehensive roadmap for integrating federated learning (FL) and artificial intelligence (AI)-driven cyber security into financial ecosystems. Unlike conventional AI systems that require data centralization, Federated Intelligence enables financial institutions to collaborate securely, train powerful AI models, and combat cyber threats. Federated Intelligence: Unlocking Privacy-Preserving and Cyber Resilience using AI in the Finance Industry" is an edited volume designed to explores how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Federated Learning in Finance (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1041115105 ISBN 13: 9781041115106
Hardcover. Condition: new. Hardcover. Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI is an edited volume designed to explore how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations, all while keeping sensitive financial data secure and distributed.This book provides a comprehensive roadmap for integrating federated learning (FL) and artificial intelligence (AI)-driven cyber security into financial ecosystems. Unlike conventional AI systems that require data centralization, Federated Intelligence enables financial institutions to collaborate securely, train powerful AI models, and combat cyber threats. Federated Intelligence: Unlocking Privacy-Preserving and Cyber Resilience using AI in the Finance Industry" is an edited volume designed to explores how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Federated Learning in Finance
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 145.45
£ 5.87 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Federated Learning in Finance (Hardcover)
Language: English
Published by Taylor & Francis Ltd, London, 2026
ISBN 10: 1041115105 ISBN 13: 9781041115106
Hardcover. Condition: new. Hardcover. Federated Learning in Finance: Unlocking Privacy-Preserving and Cyber Resilience using AI is an edited volume designed to explore how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations, all while keeping sensitive financial data secure and distributed.This book provides a comprehensive roadmap for integrating federated learning (FL) and artificial intelligence (AI)-driven cyber security into financial ecosystems. Unlike conventional AI systems that require data centralization, Federated Intelligence enables financial institutions to collaborate securely, train powerful AI models, and combat cyber threats. Federated Intelligence: Unlocking Privacy-Preserving and Cyber Resilience using AI in the Finance Industry" is an edited volume designed to explores how Federated Intelligence can help the finance industry defend against cyber threats, detect fraud, and comply with regulations. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
