6th International workshop on Machine Learning and Blockchain for Smart Society (MLBSS-2027)
in conjunction with The International Conference on Distributed Computing and Networking (ICDCN)
January 4-7, 2027
in conjunction with The International Conference on Distributed Computing and Networking (ICDCN)
January 4-7, 2027
This year marks the recent edition of this workshop, which will take place at the National Institute of Technology, Surathkal, India. It is noteworthy that the 6th version of MLBSS 2027 workshop is being held in conjunction with ICDCN 2027.
The workshop's scope is wide-ranging and encompasses relevant research endeavors that center on the integration and utilization of advanced artificial intelligence, machine learning methodologies, and blockchain technology to bolster and amplify various sectors, including intelligent transportation, smart grid systems, safety applications, smart homes, smart cities, and innovative healthcare solutions. We extend a warm invitation to academia, research professionals, industry experts, and government entities to contribute their work to the following areas:
Smart Agriculture
Original research papers on blockchain and AI/ML based smart healthcare system, intelligent transportation, smart grid, safety applications, smart homes.
Demos (hands-on or videos) of test-beds/experiences/proof of concepts/prototype of blockchain and AI/ML based systems.
Mathematical foundations for AI/ML and blockchain based solutions
High assurance security architectures for smart society applications
Blockchain based security and privacy solutions for smart society
AI/ML based risk assessment approaches
Identity and access management using AI/ML approaches
Trust management for smart society, Human factors and blockchain based security for development of smart society
Intrusion and anomaly detection for smart society applications, Decision making and reinforcement learning for smart society applications
Efficient, scalable processing of huge amount of data in smart society, Security and privacy for edge intelligence in 5G and beyond networks
Secure RNN Inference, Privacy in Federated Learning
5/6G, UAV
Homomorphically Encrypted DNN, Trustworthy ML
Secure Poisson Regression, Multi-Party Cryptographic Collaborative Learning
Privacy-preserving machine learning, Mathematical foundations for AI/ML and blockchain based solutions
Application of ChatGPT, Explainable AI
Proceedings
The previous instances of ICDCN proceedings along with all the satellite events (posters, demo, workshops, etc.) have been published by The ACM International Conference Proceeding Series (ICPS), which is indexed by ACM, DBLP, Scopus, and other indexing bodies. The previous ICDCN proceedings are available through the ACM digital library.
ACM has introduced a new open-access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the ACM Open program and do not qualify for a waiver will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: acm.org/publications/icps/author-guidance .
Previous Versions of MLBSS: MLBSS 2022, MLBSS 2023, MLBSS 2024, MLBSS (January) 2025, and MLBSS (December) 2025.