vitasil (vitasil)

Interesting 🤔

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Key Properties ▫️Compute on encrypted data without decrypting. ▫️Encrypted outputs: results stay private until you unlock them. ▫️Bootstrapping keeps noise under control so repeated operations remain accurate. ⬇️Let's look at two real-world examples of FHE usage⬇️

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Imagine Ryan Gosling is your private data.🔐 Normally, to process it—you’d have to unlock the door and expose him. Fully Homomorphic Encryption (FHE) lets others run computations while Ryan "stays locked" inside. They can add, compare, or analyze without ever seeing the data, and only you can decrypt the result.

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Zama ( @zama ) 🔸Builds open-source FHE tools like TFHE-rs and Concrete ML for privacy-preserving machine learning. 🔸Created fhEVM, a “confidential blockchain protocol” where smart-contract data stays encrypted end-to-end. 🔸Uses threshold multi-party key management so no single entity can decrypt state data. 🔸Working on hardware acceleration (CPU→GPU→FPGA/ASIC) to push throughput beyond 20 TPS.

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