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[null,"1.","Record Nr.",null,"UNINA9910743351903321"]
[null,null,"Titolo",null,"Distributed Machine Learning and Gradient Optimization / / by Jiawei Jiang, Bin Cui, Ce Zhang"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"981-16-3419-X"]
[{"$nulls":4},"981-16-3420-3"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (179 pages)"]
[null,null,"Collana",null,"Big Data Management, , 2522-0187"]
[null,null,"Disciplina",null,"943.005"]
[null,null,"Soggetti",null,"Machine learning"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Machine Learning"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Database Management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"1 Introduction -- 2 Basics of Distributed Machine Learning -- 3 Distributed Gradient Optimization Algorithms -- 4 Distributed Machine Learning Systems -- 5 Conclusion. ."]
[null,null,null,"Sommario/riassunto","This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol. Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appeal toa broad audience in the field of machine learning, artificial intelligence, big data and database management."]