Current
Psyche Distributed Training Network
A protocol suite enabling distributed training of transformer-based AI models over the internet, facilitating collaboration between untrusted parties without centralized coordination.
Psyche Distributed Training Network
Psyche functions as an infrastructure layer for distributed machine learning training. It enables the aggregation of computational resources and data across untrusted nodes to train transformer-based architectures without requiring a centralized coordinator. The system addresses trust assumptions inherent in federated learning and distributed optimization by introducing cryptographic verification mechanisms for weight updates and contribution validation. This approach mitigates single points of failure and reduces dependency on proprietary cloud infrastructure, aligning with open infrastructure principles.
Linkage Check
- GitHub: https://github.com/PsycheFoundation/nousnet (Verified)
- Docs: https://docs.psyche.network (Verified)
- Related: PyTorch Distributed, Federated Learning protocols.
Mediation
mediation: tooling: "OpenRouter / [model]" use: ["research synthesis", "entry drafting"] humanRole: "queued for review" limits: "sourced from public documentation; verify claims before promotion"