kaal:claim:4855607-029

In federated learning, validation pools coordinated by smart contracts should dispense rewards pro rata to the reputation a node has accumulated through productive work, so that incentives track a node's actual contribution to the model's learning rather than mere participation.

with validation pools that are smart contract coordinated to dispense rewards pro rata to the reputation scores a node may have accumulated through productive work. This mechanism ensures that nodes are incentivized based on their actual input to the AI model's learning.

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024), FL Optimization, p. 47
https://ssrn.com/abstract=4855607 · source PDF

Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

• federated learning where node contribution quality varies and must be motivated

designsupport: arguedreputationai-and-agentsrisk-and-incentives

• specializes kaal:claim:4755632-040 Paying workers a share of incoming compensation pro rata to their reputation scores makes rigor self-enforcing...

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