UPMs apply periodic time-varying random invertible transforms to sharded model components in decentralized setups to render cross-time assemblies incoherent while preserving network function and incurring minimal overhead.
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Unextractable Protocol Models: Collaborative Training and Inference without Weight Materialization
UPMs apply periodic time-varying random invertible transforms to sharded model components in decentralized setups to render cross-time assemblies incoherent while preserving network function and incurring minimal overhead.