Throughput vs. Latency: Why DBFV is the Superior Choice for Complex Financial Logic

Spread the love
Fully Homomorphic Encryption (FHE) has long promised secure computation on encrypted data, but was too slow for real-world finance. Fhenix’s Decomposed BFV changes this by breaking ciphertexts into smaller “limbs,” reducing noise growth and delaying costly bootstraps. The ‘Precision Wall’ in Financial Logic For a long time, fully homomorphic encryption (FHE) has been considered the […]

Go to Source