Definition ∞ Delegated Fisher-Yates refers to a method of randomized selection or shuffling where the process is managed or overseen by a designated party or set of parties, rather than being purely decentralized. This algorithm ensures a fair and unbiased distribution or ordering of elements from a given set. While it draws inspiration from the standard Fisher-Yates shuffle, the “delegated” aspect indicates a degree of centralized control or trust in the designated entities to execute the randomization properly. This approach is sometimes used to achieve efficiency or address specific trust assumptions in certain systems.
Context ∞ The application of Delegated Fisher-Yates often arises in systems requiring verifiable randomness but where a fully decentralized, trustless solution is either too computationally intensive or not yet technically mature. A key discussion involves the trade-offs between the efficiency and controlled randomness offered by delegation versus the ideal of complete decentralization and censorship resistance. Future developments might seek to minimize the trust required in delegated parties through cryptographic proofs or multi-party computation.
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