Blockchain‐Enabled Secure Federated Learning Systems for Advancing Privacy and Trust in Decentralized AI
Pawan Whig, Rattan Sharma, Nikhitha Yathiraju, Anupriya Jain, S. Sharma · 2024
This book chapter explores the intersection of Blockchain Technology and Federated Learning, presenting a comprehensive overview of their synergistic potential in creating secure and privacy-preserving AI systems. With the increasing demand for decentralized, collaborative AI models, Federated Learning has emerged as a promising paradigm. However, it brings forth concerns regarding data privacy, model integrity, and trust among participating parties. In this chapter, we delve into the integration of blockchain into Federated Learning, offering an innovative solution to address these challenges. We discuss the principles of Federated Learning, its applications across various domains, and the vulnerabilities it exposes. Subsequently, we introduce blockchain as a robust framework to enhance the security and trustworthiness of Federated Learning Systems.