Blockchain Based Framework

Blockchain-based frameworks are being developed to enhance the security, transparency, and trustworthiness of various distributed applications. Current research focuses on leveraging blockchain's decentralized nature for tasks such as secure data sharing and model training in federated learning, verifiable AI model provenance, and robust synthetic data generator ranking. These frameworks utilize smart contracts and often incorporate cryptographic techniques to ensure data integrity and accountability, impacting fields like healthcare, AI development, and robotics through improved data management and collaborative model building. The overall goal is to create more secure, auditable, and efficient systems for handling sensitive data and complex computations in distributed environments.