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The rewards received by each citizen i depends on their selection of a summarization level.
The budget cannot be equally divided among citizens as each citizen may select a different summarization level.
In other words, the average reward per citizen should be scaled up or down according to the summarization level selected.
In the resulting distribution, citizens with 0% summarization level receive 75.17% higher rewards than citizens with 100% summarization.
This is because of the very high number of citizens who choose a low summarization level as shown in Figure 4.
The objective of the self-regulatory information sharing is to distribute rewards fairly given the summarization level selected by each citizen.
Similar(45)
In this case, algorithmic summarization levels vary over time.
Figure 3 illustrates the scheme with fixed summarization levels.
Figure 14 Accuracy under fixed summarization levels in the ECBT project.
Figure 13 illustrates privacy-preservation under algorithmic summarization levels in Nervousnet.
Figure 12 illustrates privacy-preservation under fixed summarization levels in the Nervousnet project.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com