A streaming prover is a component in zero-knowledge proof systems designed to generate proofs incrementally as data or computation becomes available. Unlike traditional provers that require all input upfront, a streaming prover processes data in chunks. This enables the verification of ongoing or very large computations without waiting for their completion.
Context
Streaming provers are gaining significance in blockchain scalability solutions, particularly for rollups and other off-chain computation schemes that handle continuous data streams. Their ability to produce proofs in real-time or near real-time is crucial for reducing latency and improving the throughput of decentralized applications. Current research focuses on optimizing their efficiency and minimizing the computational overhead required for generating proofs of streaming data.
A novel streaming prover reduces ZKP memory from linear to sublinear, democratizing verifiable computation for resource-constrained devices and large-scale applications.
A novel sublinear-space zero-knowledge prover reframes proof generation as tree evaluation, enabling efficient on-device verifiable computation for widespread adoption.
This research introduces the first sublinear-space zero-knowledge prover, transforming proof generation into a tree evaluation problem to unlock on-device verifiable computation.
A novel equivalence reframes ZKP generation as tree evaluation, yielding the first sublinear-space prover, unlocking on-device verifiable computation for resource-constrained systems.
This research introduces the first sublinear-space zero-knowledge prover, fundamentally enabling efficient verifiable computation on resource-constrained devices.
This research introduces the first sublinear-space zero-knowledge prover, reframing proof generation as tree evaluation to enable efficient on-device verifiable computation.
This research introduces the first sublinear-space zero-knowledge prover, transforming proof generation for resource-constrained devices and large-scale applications.
This research introduces the first sublinear-space zero-knowledge prover, reframing proof generation as a tree evaluation problem to unlock on-device verifiable computation.
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