Microinsights

A Digital Future

A decentralised platform combining federated learning with blockchain. Contributors train models on local private data without sharing raw datasets. On-chain contracts handle coordination, staking, validation, slashing, and token incentives. Typical components include competitive model training, privacy-preserving federated fine-tuning, and a methods for deploying collaborative models