Outsourced computation involves delegating computational tasks to an external service provider or a distributed network, rather than performing them locally. This approach is often adopted to leverage specialized hardware, reduce operational costs, or access greater processing power. In a trustless environment, mechanisms like integrity proofs are necessary to verify the correctness of the computation performed by the external party. It permits resource optimization for complex calculations.
Context
Outsourced computation is a fundamental concept in blockchain scaling solutions and decentralized applications, where complex calculations might be performed off-chain to reduce network congestion and costs. Zero-knowledge proofs and verifiable computation protocols are critical for ensuring the integrity of these outsourced tasks without relying on trust. The efficiency and security of off-chain computation mechanisms are central to the scalability debate in digital asset systems.
SNACK is a new cryptographic primitive that enables superlight clients to trustlessly verify complex blockchain state queries from a single untrusted full node.
FDzkS protocol utilizes binary fields and group signatures to enable near-offline proof delegation, eliminating network bottlenecks for scalable privacy.
New HE-IOP primitive solves the integrity problem for approximate homomorphic encryption, enabling verifiable, private, outsourced computation for AI models.
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