Open-source stack proposes federated AI decentralization fixes

The author argues that federated learning fails to achieve true decentralization because a single central coordinator typically controls participation and owns the global model. While federated systems keep raw data local, they remain vulnerable to gradient leakage and membership inference unless protected by secure aggregation and differential privacy. The article outlines an open-source technology stack using independent compute marketplaces and permanent verification records to address these centralized power dynamics. Open article →