Optimal agreement refers to a state in a distributed system where all honest participants reach a consensus on a shared value or state with maximum efficiency and minimal resource expenditure. This concept extends beyond mere agreement to encompass the most resource-efficient and timely method for all non-faulty nodes to concur on a common outcome. It implies a consensus mechanism that balances security, decentralization, and performance in the most effective manner possible for its specific application. Achieving optimal agreement is a design goal for robust blockchain protocols seeking high throughput and low latency.
Context
The pursuit of optimal agreement remains a central challenge in distributed systems and blockchain research, as developers continuously seek to refine consensus algorithms. Discussions often revolve around the trade-offs between various properties, such as finality speed, fault tolerance, and the computational or communication overhead of different protocols. Future work involves exploring novel cryptographic techniques and network architectures to approach theoretical limits of efficient and secure distributed agreement.
A novel aggregate signature scheme compresses BFT agreement from quadratic to linear complexity, enabling scalable, high-throughput decentralized consensus.
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