Chain Governance

Chain governance explores methods for managing decentralized systems, particularly in blockchain-based applications like DeFi and AI model training, by leveraging on-chain and off-chain processes to enhance security, efficiency, and trust. Current research focuses on integrating machine learning models, such as reinforcement learning and deep neural networks, with blockchain technologies to automate governance decisions and improve data privacy through techniques like zero-knowledge proofs and secure multi-party computation. This research aims to create more robust, transparent, and secure decentralized systems, impacting fields ranging from finance and data markets to intellectual property management and industrial IoT.