Delegator
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Delegators are responsible for delegating stake to training nodes and/ or validators.
Reward for the delegator depends on:
quality of the training nodes/ validators selected, as measured by the scores/ ranks training nodes/ validators received based on the quality of their work
amount of stake delegator delegated
If we consider to the the rewards distributed to training nodes and their delegators as explained , then the reward for delegator to this given training node is:
Here, refers to the amount the delegator delegated to the given training node, whereas is the stake amount from the same training node.
Similarly, if a delegator delegated FLCOK to a validator, the reward for this delegator is:
Note that rewards in delegation pools are time-weighted to balance fairness for long-term participants and incentivize new delegations. As pools grow, rewards stabilize, promoting sustained engagement. Also, delegators must maintain their stake for at least 24 hours before un-delegating. This ensures meaningful contributions and prevents exploitative behaviors.
Here, refers to the rewards earned by validators and their delegators as explained . is the delegated amount from delegator to this validator, whereas refers to the stake amount from the validator.
Note that in the front-end, you will see a βreward-sharing ratioβ, which refers to , which means when reward-sharing ratio is 60%, is 0.4. This ratio is set by training nodes and validators permissionlessly.
Let's assume rewards for a given training node and its delegator ( is 58,084, to be 4, the training node stakes 3,000 and the delegator delegate 1,000. Consider to be 1 in this example. The reward for the delegator alone (excluding that to the training node) is:
Parameters like reward splits ( ) are fine-tuned through DAO voting. This democratized control keeps the ecosystem adaptive and equitable.