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 […]
Source: https://news.bitcoin.com/throughput-vs-latency-why-dbfv-is-the-superior-choice-for-complex-financial-logic/
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