Author |
: Jyoti Prakash Sahoo |
Publisher |
: Springer Nature |
Total Pages |
: 538 |
Release |
: 2022-01-01 |
ISBN-10 |
: 9789811648076 |
ISBN-13 |
: 9811648077 |
Rating |
: 4/5 (76 Downloads) |
Book Synopsis Advances in Distributed Computing and Machine Learning by : Jyoti Prakash Sahoo
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.