Advances In Distributed Computing And Machine Learning Proceedings Of Icadcml 2025 Volume 1 1st Edition Binayak Kar Asis Kumar Tripathy Weichung Teng Jyoti Prakash Sahoo Mohammad S Obaidat by Binayak Kar · Asis Kumar Tripathy · Wei-chung Teng · Jyoti Prakash Sahoo · Mohammad S. Obaidat 9789819667215, 9819667216 instant download after payment.

The book Advances in Distributed Computing and Machine Learning is a collection of the latest research in the field of distributed computing and machine learning, presented at the 6th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2025) held at the National Taiwan University of Science and Technology (NTUST), Taiwan, during January 9–10, 2025. The conference, organized by the Department of Computer Science and Information Engineering at NTUST, brought together leading researchers, academics, and industry
professionals from around the world to share their insights and findings on the latest advances in this rapidly evolving field.
The book includes a wide range of topics, including Cloud Computing, the Internet of Things (IoT), Blockchain Technology, Distributed Systems and Algorithms, and their technical applications in distributed environments. The research papers included in the book provide valuable insights into the use of Data Analytics, AI, and Machine Learning to address complex real-world problems, distributed deep learning and reinforcement learning, distributed optimization and its applications, distributed systems security, and the future of distributed computing. Additionally, this year’s conference features a new track on Quantum Computing, covering areas such as Quantum Networking, Quantum Cryptography, Beyond Quantum Key Distribution (QKD), Performance Evaluation of Quantum Algorithms, Quantum Techniques in Machine Learning, and Hybrid Quantum-Classical Systems.