Granular-ball image compression into graphs improves privacy and efficiency in federated learning, but the paper does not show the claimed accuracy is maintained.
Communication efficient and differentially private logistic regression under the distributed setting
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
A New Perspective on Privacy Protection in Federated Learning with Granular-Ball Computing
Granular-ball image compression into graphs improves privacy and efficiency in federated learning, but the paper does not show the claimed accuracy is maintained.