aiflbsd2024: Convergence of AI, Federated Learing, and Blockchain for Sustainable Develoopment Online Da Nang, Viet Nam, May 10-11, 2024 |
Conference website | https://sites.google.com/view/aiflbsd2024/home |
Submission link | https://easychair.org/conferences/?conf=aiflbsd2024 |
his book will provide current state-of-the-art along with an insight into recent research trends & open issues and challenges for the academician, analyser, researcher, writers, and authors. It will also provide an opportunity to achieve a hybrid knowledge of various recent technologies for sustainable development including IoT-enabled smart systems, Industry 4.0, Networking, Cyber Security, Cyber physical systems, healthcare-based application, various tools along with the methods used for Industry oriented Intelligent based IoT applications.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
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Intelligent Sustainable Development Strategies
Automation of Data-Driven Decision-Making for Analytical Systems
Intelligent Techniques for Knowledge Engineering oriented Systems
AI enabled Sustainable Industrial Expert Systems
Innovative Computational Techniques for AI-enabled Applications
Advanced Federated Learning Techniques for Healthcare Industry 4.0
Intelligent Productive Federated Learning Systems
Innovative Sustainable Implementation for System and Statistical Heterogeneity
Security Techniques for Federated Systems
Federated Learning based Recommendation Systems
Advanced Blockchain based Applications using Real Time Datasets for Smart contracts
Achieving Sustainable Development goals using Blockchain Technology
Traceability and Transparency issues in Transactions using Innovative Blockchain Techniques
Innovative Development of Cybersecurity based Sustainable System for Real-Life Applications
AI based SDN Communication
Intelligent Opportunistic Networks
Privacy Preserving Intelligent technique using federated learning
Deep Learning Approaches for 6G Resource Allocation
Machine Learning for Multiple Access in Cloud enabled Fog data
Committees
Dr. Mohit Kumar. Dr. B R Ambedkar National Institute of Technology (NIT), Jalandhar, Punjab, India. Email: mohit05cs33@gmail.com
Dr. Anand Nayyar, Professor, Scientist, Vice-Chairman (Research), Director (IoT and Intelligent Systems Lab), School of Computer Science, Duy Tan University, Da Nang, Viet Nam. anandnayyar@duytan.edu.vn
Dr. Ashutosh Kumar Singh, United College of Engineering and Research, Prayagraj, India. Email: ashuit89@gmail.com
Dr. Yanhui Gua, University of Illinios, Springfield, USA. Email: yguo56@uis.edu
Publication
aiflbsd2024 proceedings will be published by Springer--ASTI Series. "https://www.springer.com/series/15883"
Contact
All questions about submissions should be emailed to: