Streaming computation involves processing data continuously as it arrives, rather than waiting for an entire dataset to be collected before processing begins. This method handles data streams in real-time or near real-time, allowing for immediate analysis and reaction to incoming information. It is particularly useful for applications requiring low latency and continuous data processing.
Context
The application of streaming computation is becoming increasingly relevant in decentralized finance (DeFi) and blockchain analytics for monitoring real-time transaction flows, oracle updates, and market data. Its use enables immediate responses to market events and facilitates dynamic smart contract execution. News often covers how platforms leverage streaming data to provide up-to-the-minute insights and automated trading strategies in digital asset markets.
Lattice-based folding schemes construct the first post-quantum recursive proof system, enabling quantum-secure, incrementally verifiable computation for massive data streams.
A novel space-efficient tree algorithm reduces ZKP memory requirements from linear to square-root, unlocking verifiable computation on resource-constrained devices globally.
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