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The Fair Value of Data Under Heterogeneous Privacy Constraints. (arXiv:2301.13336v1 [cs.LG])
cs.CR updates on arXiv.org arxiv.org
Modern data aggregation often takes the form of a platform collecting data
from a network of users. More than ever, these users are now requesting that
the data they provide is protected with a guarantee of privacy. This has led to
the study of optimal data acquisition frameworks, where the optimality
criterion is typically the maximization of utility for the agent trying to
acquire the data. This involves determining how to allocate payments to users
for the purchase of their …
acquisition agent aggregation collecting constraints data fair frameworks guarantee led network platform privacy study under utility value