Granular-ball image compression into graphs improves privacy and efficiency in federated learning, but the paper does not show the claimed accuracy is maintained.
Practical secure aggregation for privacy-preserving machine learning
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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.