Advances In Distributed Computing And Machine Learning

Author : Suchismita Chinara
Publisher : Springer Nature
ISBN 13 : 9819912032
Total Pages : 600 pages
Book Rating : 4.32/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by Suchismita Chinara and published by Springer Nature. This book was released on 2023-06-27 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of peer-reviewed best selected research papers presented at the Fourth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2023), organized by Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India, during 15–16 January 2023. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Author : Jyoti Prakash Sahoo
Publisher : Springer Nature
ISBN 13 : 9811648077
Total Pages : 538 pages
Book Rating : 4.76/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by Jyoti Prakash Sahoo and published by Springer Nature. This book was released on 2022-01-01 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.

Author : Umakanta Nanda
Publisher : Springer
ISBN 13 : 9789819718405
Total Pages : 0 pages
Book Rating : 4.06/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by Umakanta Nanda and published by Springer. This book was released on 2024-06-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of peer-reviewed best selected research papers presented at the Fifth International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2024), organized by the School of Electronics and Engineering, VIT - AP University, Amaravati, Andhra Pradesh, India, during January 5–6, 2024. This book presents recent innovations in the field of scalable distributed systems in addition to cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Author : Rashmi Ranjan Rout
Publisher : Springer
ISBN 13 : 9789811910173
Total Pages : 0 pages
Book Rating : 4.70/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by Rashmi Ranjan Rout and published by Springer. This book was released on 2022-07-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Author : Fernando De La Prieta
Publisher : Springer
ISBN 13 : 3319946498
Total Pages : 367 pages
Book Rating : 4.98/5 ( download)

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Download or read book Distributed Computing and Artificial Intelligence, 15th International Conference written by Fernando De La Prieta and published by Springer. This book was released on 2018-07-04 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 15th International Symposium on Distributed Computing and Artificial Intelligence 2018 (DCAI 2018) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Castilla-La Mancha, the Osaka Institute of Technology and the University of Salamanca. The present edition was held in Toledo, Spain, from 20th – 22nd June, 2018.

Author : Thomas, J. Joshua
Publisher : IGI Global
ISBN 13 : 1668498057
Total Pages : 315 pages
Book Rating : 4.57/5 ( download)

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Download or read book Scalable and Distributed Machine Learning and Deep Learning Patterns written by Thomas, J. Joshua and published by IGI Global. This book was released on 2023-08-25 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scalable and Distributed Machine Learning and Deep Learning Patterns is a practical guide that provides insights into how distributed machine learning can speed up the training and serving of machine learning models, reduce time and costs, and address bottlenecks in the system during concurrent model training and inference. The book covers various topics related to distributed machine learning such as data parallelism, model parallelism, and hybrid parallelism. Readers will learn about cutting-edge parallel techniques for serving and training models such as parameter server and all-reduce, pipeline input, intra-layer model parallelism, and a hybrid of data and model parallelism. The book is suitable for machine learning professionals, researchers, and students who want to learn about distributed machine learning techniques and apply them to their work. This book is an essential resource for advancing knowledge and skills in artificial intelligence, deep learning, and high-performance computing. The book is suitable for computer, electronics, and electrical engineering courses focusing on artificial intelligence, parallel computing, high-performance computing, machine learning, and its applications. Whether you're a professional, researcher, or student working on machine and deep learning applications, this book provides a comprehensive guide for creating distributed machine learning, including multi-node machine learning systems, using Python development experience. By the end of the book, readers will have the knowledge and abilities necessary to construct and implement a distributed data processing pipeline for machine learning model inference and training, all while saving time and costs.

Author : Asis Kumar Tripathy
Publisher : Springer
ISBN 13 : 9789811542176
Total Pages : 523 pages
Book Rating : 4.71/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by Asis Kumar Tripathy and published by Springer. This book was released on 2020-06-12 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Author : Asis Kumar Tripathy
Publisher : Springer Nature
ISBN 13 : 981154218X
Total Pages : 525 pages
Book Rating : 4.83/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by Asis Kumar Tripathy and published by Springer Nature. This book was released on 2020-06-11 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30–31 January 2020.

Author : Rashmi Ranjan Rout
Publisher : Springer Nature
ISBN 13 : 9811910189
Total Pages : 712 pages
Book Rating : 4.80/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by Rashmi Ranjan Rout and published by Springer Nature. This book was released on 2022-07-27 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes a collection of peer-reviewed best selected research papers presented at the Third International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2022), organized by Department of Computer Science and Engineering, National Institute of Technology, Warangal, Telangana, India, during 15–16 January 2022. This book presents recent innovations in the field of scalable distributed systems in addition to cutting edge research in the field of Internet of Things (IoT) and blockchain in distributed environments.

Author :
Publisher :
ISBN 13 : 9789811542190
Total Pages : pages
Book Rating : 4.98/5 ( download)

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Download or read book Advances in Distributed Computing and Machine Learning written by and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in the field of distributed computing and machine learning, along with cutting-edge research in the field of Internet of Things (IoT) and blockchain in distributed environments. It features selected high-quality research papers from the First International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2020), organized by the School of Information Technology and Engineering, VIT, Vellore, India, and held on 30-31 January 2020.