Blockchain and Machine Learning Synergy: An Approach to Decentralized and Secure Model Training

Abstract

Through the past few years machine learning and blockchain technologies have rapidly advanced and revolutionized numerous industries. Blockchain offers secure transaction tracking, whereas machine learning facilitates data-driven decision making. This study explores both technologies and their potential to transform finance, supply chain management, healthcare and identity management. The focus is on how this integration can improve cybersecurity, privacy, and implement decentralization nature through improved data management and analysis. This collaboration promises automation, transparency, and data-driven decision-making while strengthening security. However, challenges, such as security threats, integration planning, and data processing, must be addressed before widespread adoption. Surmounting these hurdles will unlock the full capabilities of this technological fusion, shaping the future of enhanced efficiency, security and data-driven decision making across various sectors.