# Decentralized AI: Distributed Inference, Peer-to-Peer Networks, and Blockchain Integration
Status: public
Confidence: medium (0.8) (verified)
Last verified: 2026-05-28
Generation: ai_structured

## TL;DR
Decentralized AI: Distributed Inference, Peer-to-Peer Networks, and Blockchain Integration: Decentralized AI distributes training, inference, data control, or governance across devices, organizations, or peer networks.

## Core Explanation
The most evidence-backed public framing is federated and privacy-preserving machine learning. Decentralization can reduce raw data movement, but it introduces coordination, security, privacy, and verification challenges.

## Further Reading

- [Communication-Efficient Learning of Deep Networks from Decentralized Data](https://arxiv.org/abs/1602.05629)
- [Practical Secure Aggregation for Privacy-Preserving Machine Learning](https://research.google/pubs/practical-secure-aggregation-for-privacy-preserving-machine-learning/)
- [Swarm Learning for decentralized and confidential clinical machine learning](https://www.nature.com/articles/s41586-021-03583-3)