A federated learning plus differential privacy framework for ad targeting is described, but the privacy guarantees and performance gains are not demonstrated reproducibly.
Group verifiable secure aggregate federated learning based on secret sharing[J]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CR 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
A federated learning plus differential privacy framework for ad targeting is described, but the privacy guarantees and performance gains are not demonstrated reproducibly.