Federated Learning
A machine learning approach where models are trained across decentralized devices without raw data ever leaving the local environment.
The Data Sovereignty initiative uses Federated Learning to train AI on data owned by millions of individuals—without centralizing that data. Your phone trains a local model on your data; only the model updates (not the data) are shared. The collective intelligence improves; your privacy is preserved.
Related Initiatives
Related Concepts
See also:
Provenance Chain
A cryptographic record appended to each MKVLI token, documenting every VRDI participation, impact metric, and recipient confirmation—creating a unique "story" for each token.
See also:
Underwriter AI
The algorithmic credit assessment engine that evaluates DIO proposals using alternative data, explainable AI, and real-time risk monitoring.
See also:
Neuromimetic Architecture
A system design philosophy that mimics biological neural networks, allowing decentralized nodes to self-organize and optimize without central direction.