A system or cryptographic scheme is considered batch updatable if multiple updates or modifications can be processed together in a single, efficient operation. This characteristic significantly reduces the computational overhead and resource consumption compared to processing each update individually. Batch updatability is particularly relevant in data structures and proofs where frequent changes occur. It allows for more economical and faster system maintenance and state transitions.
Context
The efficiency gains from batch updatable systems are highly relevant in blockchain scaling solutions, such as rollups and other layer-2 protocols. Current discussions focus on designing cryptographic commitments and proof systems that can effectively aggregate numerous transactions into a single proof. Monitoring advancements in batch updatable proofs will provide insight into the future throughput capabilities and cost-effectiveness of decentralized networks.
Cauchyproofs, a new batch-updatable vector commitment, achieves quasi-linear state proof updates, fundamentally solving the computational bottleneck for stateless blockchain adoption.
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