Tutorial – Half Day Session
Blockchain and Privacy-preserving FL Inspired Smart Healthcare Underlying Next-Generation Wireless Networks

Abstract : The smart healthcare system is likely to play a crucial role in our society. It can provide remote medical services, helps with medical diagnosis, and protect patients against dangerous infectious disease such as COVID-19 during personal visits to hospitals. Smart healthcare solutions are extremely helpful during the recent COVID-19 pandemic as well. However, there are challenges in remote smart healthcare such as data unavailability due to privacy concerns of patients, and remote transmission of patients’ data. Thus, this tutorial will discuss potential futuristic directions for enabling the smart healthcare model in the upcoming next-generation wireless networks. This discussion will involve architectural motivation around the use of blockchain, and Federated Learning (FL) concepts underlying cellular 5G networks in order to overcome the constraints of remote health monitoring systems.

Outline of the Tutorial :

  • Introduction to Blockchain Technology in Smart Healthcare,
  • Introduction to Wireless Body Area Networks (WBAN) in remote health monitoring,
  • Introduction to FL in remote health monitoring,
  • Usefulness of next-generation wireless networks in remote health monitoring,
  • Demonstration of the proposed architectural model with help of relevant outcomes along with online hands-on.

Level of the Tutorial : Introduction to advanced level.

Expected Length of the Tutorial : Half day.

Intended Audience : Bachelors students, Masters students, Researchers, and Ph.D. scholars in Computer Science and Engineering/ Electronics.

Instructor :

Dr. Ajay Pratap is an Assistant Professor with the Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India. He worked as a Post-Doctoral Research Fellow in the Department of Computer Science at Missouri University of Science and Technology, USA, from August 2018 to December 2019. He completed his Ph.D. degree in Computer Science and Engineering from IIT Patna, India, in July 2018. His research interests include Cyber-Physical Systems, IoT-enabled Smart Environments, Statistical Learning, and AI/ML for Next-G Cellular Networks. His papers appeared in several international journals and conferences including IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Vehicular Technology, etc. He has received several awards including the Best Paper Award and NSF travel grant for the IEEE SmartComp conference in the USA. Further Details can be found here: