BlindFL randomly selects and encrypts a subset of each client's model layers for aggregation, cutting fully homomorphic encryption overhead in federated learning while preserving accuracy and reducing client-side gradient inversion success.
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BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption
BlindFL randomly selects and encrypts a subset of each client's model layers for aggregation, cutting fully homomorphic encryption overhead in federated learning while preserving accuracy and reducing client-side gradient inversion success.