Deep learning models are trained across devices that have joined the network
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Machine learning tasks are sent to the network and compute suppliers attach/detach hardware at will. Suppliers run tasks for payments and their work is verified by other suppliers. The network is decentralised/ permissionless with consensus achieved via Proof-of-Stake and verification via game theoretic incentives/cryptographic proofs.