FML-IOT-2022: Federated Machine Learning for Fog enabled IoT Networks: Principles and Applications |
Submission link | https://easychair.org/conferences/?conf=fmliot2022 |
Abstract registration deadline | April 15, 2022 |
Submission deadline | October 31, 2022 |
This advanced research-edited book focuses on emerging and advancing technology federated machine learning, Internet of Things (IoT), Fog/Edge Computing paradigm to solve real-world problems and make the life of humans more conformable. The proposed book provides ideas to reduce the latency of real-time IoT applications using the fog paradigm and improve the security and privacy of user’s data using a federated learning approach in fog-enabled IoT networks.
Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome:
- Abstract Deadline: 10 April 2022
- Full papers: 31 July 2022
List of Topics
The main topics of interest for this book include, but are not limited to:
- Introduction to Federated Machine Learning Techniques for Fog enabled IoT Networks
- Need of Federated Machine Learning models in integrated Fog-IoT environment
- Role Federated Machine Learning in real-time applications
- Federated Machine Learning for healthcare industry 4.0
- Privacy and security issues in Fog enabled IoT Networks using federated learning
- Federated learning-based recommendation system
- Prediction and training of data in Fog enabled IoT Networks
- An efficient intelligent technique for IoT application placement in Fog Computing
- Performance Evaluation and Comparison of ML models for service placement in fog
- Trust-based optimal IoT task offloading framework using AI approach
- Energy-aware and delay-guaranteed IoT applications placement using federated ML model
- Comparative analysis based upon Experimental and simulation results validation in Fog Computing
Committees
Program Committee
Dr. Mohit Kumar
Dr. Rajeev Arya
Dr. Nitin Auluck
Dr. Jitendra Kumar Samriya
Organizing committee
Dr. Mohit Kumar
Dr. Rajeev Arya
Dr. Nitin Auluck
Dr. Jitendra Kumar Samriya
Contact
Dr. mohit Kumar, NIT Jalandhar
All questions about submissions should be emailed to : mohit05cs33@gmail.com, kumarmohit@nitj.ac.in