Articles liés à Artificial Intelligence Using Federated Learning

Artificial Intelligence Using Federated Learning - Couverture rigide

 
9781032771649: Artificial Intelligence Using Federated Learning

Synopsis

Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Dr. Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. He is the Founder and Head of the Scientific Innovation Research Group (SIRG) and a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. Elngar has more than 105 scientific research papers published in prestigious international journals and over 45 books covering diverse topics such as data mining, intelligent systems, social networks, and smart environments. Dr. Elngar is a collaborative researcher and is a member of the Egyptian Mathematical Society (EMS) and the International Rough Set Society (IRSS).

Dr. Diego Oliva received a B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico in 2007, an M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010, and a Ph.D. in Informatics in 2015 from the Universidad Complutense de Madrid. Currently, he is an Associate Professor at the University of Guadalajara in Mexico. In 2017 he was a visiting professor at the Tomsk Polytechnic University in Russia, and he has the distinction of National Researcher Rank 2 by the Mexican Council of Science and Technology. In 2022 he was recognized as a Highly Cited Researcher by Clarivate WOS. Since 2017 he has been a member of the IEEE and a Senior Member since 2022. Dr. Oliva is a coauthor of more than 50 papers in international journals, and 5 books in international editorials and has 2 patents submitted in Mexico. He was the principal investigator of two fully funded Mexican projects and participated in two international projects. His research interests include evolutionary and swarm algorithms, machine learning, hybrid algorithms, image processing, and computational intelligence.

Dr. Valentina E. Balas is currently a Full Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, "Aurel Vlaicu" University of Arad, Romania. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is the author of more than 300 research papers in referred journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is the Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms (IJAIP) and to International Journal of Computational Systems Engineering (IJCSysE). She is an Editorial Board member of several national and international journals and an evaluator expert for national and international projects and Ph.D. Thesis. Dr. Balas is the director of the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad and Director of the Department of International Relations, Programs, and Projects at the same university. She served as General Chair of the International Workshop Soft Computing and Applications (SOFA) in eight editions from 2005-2018 held in Romania and Hungary. Dr. Balas was past Vice-president (Awards) of the IFSA International Fuzzy Systems Association Council (2013-2015) and is a Joint Secretary of the Governing Council of the Forum for Interdisciplinary Mathematics (FIM), - A Multidisciplinary Academic Body, in India. She is also the director of the Department of International Relations, Programs, and Projects and head of the Intelligent Systems Research Centre at Aurel Vlaicu University of Arad, Romania.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Acheter D'occasion

état :  Comme neuf
Unread book in perfect condition...
Afficher cet article
EUR 185,35

Autre devise

EUR 2,26 expédition vers Etats-Unis

Destinations, frais et délais

Acheter neuf

Afficher cet article
EUR 168,21

Autre devise

EUR 7,49 expédition depuis Royaume-Uni vers Etats-Unis

Destinations, frais et délais

Résultats de recherche pour Artificial Intelligence Using Federated Learning

Image d'archives

Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide

Vendeur : Majestic Books, Hounslow, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur 394452593

Contacter le vendeur

Acheter neuf

EUR 168,21
Autre devise
Frais de port : EUR 7,49
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

Quantité disponible : 3 disponible(s)

Ajouter au panier

Image d'archives

Elngar, Ahmed A. (EDT); Oliva, Diego (EDT); Balas, Valentina E. (EDT)
Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide

Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur 48084539-n

Contacter le vendeur

Acheter neuf

EUR 173,51
Autre devise
Frais de port : EUR 2,26
Vers Etats-Unis
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Ahmed A. Elngar
Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide

Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Hardcover. Etat : new. Hardcover. Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount.The book is designed for researchers working in Intelligent Federated Learning and its related applications, as well as technology development, and is also of interest to academicians, data scientists, industrial professionals, researchers, and students. Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781032771649

Contacter le vendeur

Acheter neuf

EUR 175,84
Autre devise
Frais de port : Gratuit
Vers Etats-Unis
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide

Vendeur : Books Puddle, New York, NY, Etats-Unis

Évaluation du vendeur 4 sur 5 étoiles Evaluation 4 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur 26401957294

Contacter le vendeur

Acheter neuf

EUR 178,07
Autre devise
Frais de port : EUR 3,42
Vers Etats-Unis
Destinations, frais et délais

Quantité disponible : 3 disponible(s)

Ajouter au panier

Image d'archives

Ahmed A. Elngar
Edité par Taylor & Francis Ltd, London, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide

Vendeur : AussieBookSeller, Truganina, VIC, Australie

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Hardcover. Etat : new. Hardcover. Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA.Artificial Intelligence Using Federated Learning: Fundamentals, Challenges, and Applications enables training AI models on a large number of decentralized devices or servers, making it a scalable and efficient solution. It also allows organizations to create more versatile AI models by training them on data from diverse sources or domains. This approach can unlock innovative use cases in fields like healthcare, finance, and IoT, where data privacy is paramount.The book is designed for researchers working in Intelligent Federated Learning and its related applications, as well as technology development, and is also of interest to academicians, data scientists, industrial professionals, researchers, and students. Federated machine learning is a novel approach to combining distributed machine learning, cryptography, security, and incentive mechanism design. It allows organizations to keep sensitive and private data on users or customers decentralized and secure, helping them comply with stringent data protection regulations like GDPR and CCPA. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781032771649

Contacter le vendeur

Acheter neuf

EUR 154,41
Autre devise
Frais de port : EUR 31,74
De Australie vers Etats-Unis
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Elngar, Ahmed A. (EDT); Oliva, Diego (EDT); Balas, Valentina E. (EDT)
Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Ancien ou d'occasion Couverture rigide

Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 48084539

Contacter le vendeur

Acheter D'occasion

EUR 185,35
Autre devise
Frais de port : EUR 2,26
Vers Etats-Unis
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Ahmed A Elngar
Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide
impression à la demande

Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9781032771649

Contacter le vendeur

Acheter neuf

EUR 186,81
Autre devise
Frais de port : EUR 5,78
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Ahmed A Elngar
Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide
impression à la demande

Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L1-9781032771649

Contacter le vendeur

Acheter neuf

EUR 193,08
Autre devise
Frais de port : Gratuit
Vers Etats-Unis
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Elngar, Ahmed A. (EDT); Oliva, Diego (EDT); Balas, Valentina E. (EDT)
Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide

Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur 48084539-n

Contacter le vendeur

Acheter neuf

EUR 176,99
Autre devise
Frais de port : EUR 17,28
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Edité par CRC Press, 2024
ISBN 10 : 103277164X ISBN 13 : 9781032771649
Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. In. N° de réf. du vendeur ria9781032771649_new

Contacter le vendeur

Acheter neuf

EUR 185,24
Autre devise
Frais de port : EUR 13,80
De Royaume-Uni vers Etats-Unis
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

There are 7 autres exemplaires de ce livre sont disponibles

Afficher tous les résultats pour ce livre