Federated Learning Systems Privacy Preserving (13 results)
Language: English
Published by Independently published, 2026
- Softcover
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Seller: California Books, Miami, FL, U.S.A.California Books
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Federated Learning Systems : Towards Privacy-preserving Distributed Ai
Rehman, Muhammad Habib Ur (EDT); Gaber, Mohamed Medhat (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Federated Learning Systems : Towards Privacy-preserving Distributed Ai
Rehman, Muhammad Habib Ur (EDT); Gaber, Mohamed Medhat (EDT)
- Hardcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Federated Learning Systems : Towards Privacy-preserving Distributed Ai
Rehman, Muhammad Habib Ur (EDT); Gaber, Mohamed Medhat (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Federated Learning Systems : Towards Privacy-preserving Distributed Ai
Rehman, Muhammad Habib Ur (EDT); Gaber, Mohamed Medhat (EDT)
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Federated Learning Systems | Towards Privacy-Preserving Distributed AI | Muhammad Habib Ur Rehman (u. a.) | Taschenbuch | xviii | Englisch | 2026 | Springer | EAN 9783031788437 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book dives deep into both industry implementations and cutting-edge research driving theFederated Learning(FL) landscape forward. FL enables decentralized model training, preserves data privacy, and enhances security without relying on centralized datasets. Industry pioneers like NVIDIA have spearheaded the development of general-purpose FL platforms, revolutionizing how companies harness distributed data. Alternately, for medical AI, FL platforms, such as FedBioMed, enable collaborative model development across healthcare institutions to unlock massive value.Research advances in PETs highlight ongoing efforts to ensure that FL is robust, secure, and scalable. Looking ahead, federated learning could transform public health by enabling global collaboration on disease prevention while safeguarding individual privacy. From recommendation systems to cybersecurity applications, FL is poised to reshape multiple domains, driving a future where collaboration and privacy coexist seamlessly.…
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book dives deep into both industry implementations and cutting-edge research driving theFederated Learning(FL) landscape forward. FL enables decentralized model training, preserves data privacy, and enhances security without relying on centralized datasets. Industry pioneers like NVIDIA have spearheaded the development of general-purpose FL platforms, revolutionizing how companies harness distributed data. Alternately, for medical AI, FL platforms, such as FedBioMed, enable collaborative model development across healthcare institutions to unlock massive value.Research advances in PETs highlight ongoing efforts to ensure that FL is robust, secure, and scalable. Looking ahead, federated learning could transform public health by enabling global collaboration on disease prevention while safeguarding individual privacy. From recommendation systems to cybersecurity applications, FL is poised to reshape multiple domains, driving a future where collaboration and privacy coexist seamlessly.…
- Hardcover
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Federated Learning Systems: Towards Privacy-preserving Distributed Ai
Rehman, Muhammad Habib Ur (Editor)/ Gaber, Mohamed Medhat (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 185 pages. 9.25x6.10x9.21 inches. In Stock.
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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