Pairing the PASTA stream cipher with BFV homomorphic encryption in federated learning cuts client upload by about 2000x and keeps MNIST accuracy within 1.3% of plaintext, but makes server aggregation roughly 15,000x more expensive.
PLOS ONE 19 (10 2024)
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Federated Learning: An approach with Hybrid Homomorphic Encryption
Pairing the PASTA stream cipher with BFV homomorphic encryption in federated learning cuts client upload by about 2000x and keeps MNIST accuracy within 1.3% of plaintext, but makes server aggregation roughly 15,000x more expensive.