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Networked Systems : 12th International Conference, NETYS 2024, Rabat, Morocco, May 29?31, 2024, Proceedings

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Product Code: 9783031673207
ISBN13: 9783031673207
Condition: New
$71.00
This book constitutes the refereed proceedings of the 12th International Conference on Networked Systems, NETYS 2024, held in Rabat, Morocco, during May 29-31, 2024. The 14 full papers and 3 short papers presented were carefully reviewed and selected from 42 submissions. NETYS aims to bring together researchers and engineers from the theory and practice of distributed and networked systems. The scope of the conference covers all aspects related to the design and the development of networked systems, e.g., cloud systems, formal verification, concurrent and distributed algorithms, data management, data science and parallel/concurrent/distributed programming. Additionally, this year NETYS also featured works on the emerging topic of distributed machine learning, also commonly referred to as federated learning.


Author: Armando Castañeda, Constantin Enea, Nirupam Gupta
Publisher: Springer
Publication Date: Aug 25, 2024
Number of Pages: NA pages
Language: English
Binding: Paperback
ISBN-10: 3031673204
ISBN-13: 9783031673207

Networked Systems : 12th International Conference, NETYS 2024, Rabat, Morocco, May 29?31, 2024, Proceedings

$71.00
 
This book constitutes the refereed proceedings of the 12th International Conference on Networked Systems, NETYS 2024, held in Rabat, Morocco, during May 29-31, 2024. The 14 full papers and 3 short papers presented were carefully reviewed and selected from 42 submissions. NETYS aims to bring together researchers and engineers from the theory and practice of distributed and networked systems. The scope of the conference covers all aspects related to the design and the development of networked systems, e.g., cloud systems, formal verification, concurrent and distributed algorithms, data management, data science and parallel/concurrent/distributed programming. Additionally, this year NETYS also featured works on the emerging topic of distributed machine learning, also commonly referred to as federated learning.


Author: Armando Castañeda, Constantin Enea, Nirupam Gupta
Publisher: Springer
Publication Date: Aug 25, 2024
Number of Pages: NA pages
Language: English
Binding: Paperback
ISBN-10: 3031673204
ISBN-13: 9783031673207
 

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