ICDCN stands as a distinguished international conference committed to addressing advancements in the realms of Distributed Computing and Communication Networks. Over the years, it has solidified its reputation as a premier platform for disseminating the most recent research findings in these domains. This year marks the 25th edition of this esteemed conference, which will take place at the Indian Institute of Technology (IIT) Madras in Chennai, India. It is noteworthy that the MLBSS 2024 workshop is being held in conjunction with ICDCN 2024.

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:

• 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 testbeds/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

• Previous Versions of MLBSS: MLBSS 2022 and MLBSS 2023