On-Device Proving refers to the cryptographic process of verifying information directly on a user’s local device, such as a smartphone or computer, without requiring external servers. This approach enhances privacy and security by keeping sensitive data decentralized. It is fundamental to enabling trustless interactions in digital systems.
Context
Developments in On-Device Proving are critical for the advancement of privacy-preserving technologies within blockchain and Web3 applications. Discussions often center on its application in zero-knowledge proofs, secure identity management, and private transactions. Advances in this area are directly relevant to the security and user experience of next-generation digital platforms.
Reframing ZKP generation as a tree evaluation problem cuts prover memory from linear to square-root complexity, enabling ubiquitous verifiable computation.
A new sublinear-space ZKP prover, reducing memory from linear to square-root complexity, transforms verifiable computation from a server task to an on-device primitive.
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.
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.
A novel zero-knowledge prover reduces memory from linear to sublinear, unlocking verifiable computation for resource-constrained devices and massive tasks.
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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