Blockchain Based Platform
Blockchain-based platforms are being developed to enhance the security, transparency, and efficiency of various applications, primarily by leveraging the decentralized and immutable nature of blockchain technology. Current research focuses on integrating advanced machine learning models, such as graph neural networks, transformers, and recurrent neural networks, to improve tasks like fraud detection, financial prediction, and secure data sharing in areas like healthcare and IoT. This interdisciplinary field is significant because it addresses critical challenges in data privacy, security, and trust, with potential applications ranging from secure data management in smart cities to verifiable AI model deployment.
Papers
A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
Linh Tran, Sanjay Chari, Md. Saikat Islam Khan, Aaron Zachariah, Stacy Patterson, Oshani Seneviratne
Toychain: A Simple Blockchain for Research in Swarm Robotics
Alexandre Pacheco, Ulysse Denis, Raina Zakir, Volker Strobel, Andreagiovanni Reina, Marco Dorigo