Federated Learning and Decentralization Collaboration

FLock.io adopts a federated learning strategy that allows multiple nodes to collaboratively train AI models without the data leaving their local environment, ensuring privacy while also enhancing the transparency and efficiency of model training. All participation actions are recorded on the blockchain, strengthening data traceability and trust.

Team Background and Funding Support

Founder Sun Jiahao has an Oxford degree and extensive experience in the AI industry, with team members coming from the fields of AI, blockchain, and distributed systems. The project has received investments from well-known institutions such as Lightspeed Faction, DCG, and Animoca Brands, raising over $11 million in total, laying a solid foundation for the mainnet deployment.

Ecological architecture and technical modules

FLock.io consists of three major modules: AI Arena (model training and validation), FL Alliance (collaborative fine-tuning), and AI Marketplace (model trading applications), achieving a transparent and efficient AI ecosystem. The platform is designed with staking incentives at its core, allowing users to contribute data, models, or computing power in exchange for token rewards.

Token economics and distribution

FLOCK is the platform’s native token, with a total supply of 1 billion, released daily and governed by smart contracts. The team and investors hold 33.3%, while the community and ecosystem hold 66.7%, emphasizing Decentralization and long-term incentives. FLOCK/USDT has been listed on multiple exchanges, enhancing liquidity and participation.

Future Outlook

FLock.io is committed to creating a secure, open, and universally participatory AI development environment. With the increasing demand for data privacy and Decentralization, it is expected to become an important node in the Web3 AI ecosystem, promoting the deep integration of the data economy and AI applications.