Advances in Distributed Computing and Machine Learning
Download or Read eBook Advances in Distributed Computing and Machine Learning PDF written by Asis Kumar Tripathy and published by Springer Nature. This book was released on 2020-06-11 with total page 526 pages. Available in PDF, EPUB and Kindle.
| Author | : Asis Kumar Tripathy |
| Publisher | : Springer Nature |
| Total Pages | : 526 |
| Release | : 2020-06-11 |
| ISBN-10 | : 9789811542183 |
| ISBN-13 | : 981154218X |
| Rating | : 4/5 (83 Downloads) |
Book Synopsis Advances in Distributed Computing and Machine Learning by : Asis Kumar Tripathy
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.
