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Fully Homomorphic Encryption

Fully Homomorphic Encryption

1
posts
2021

Google's work on Fully Homomorphic Encryption (FHE) has advanced to enable more practical and efficient applications of this privacy-preserving cryptographic technique. Early research focused on the theoretical underpinnings and feasibility of FHE. Subsequent developments have concentrated on improving performance, reducing computational overhead, and developing concrete use cases. This includes advancements in FHE schemes, optimized libraries, and integration into secure data processing pipelines, allowing for computations on encrypted data without decryption.

2021

Our latest updates on Fully Homomorphic Encryption- Google Developers Blog

6/14/2021

This post announces advancements in Fully Homomorphic Encryption (FHE) at Google, highlighting progress in making FHE more practical for real-world applications. It details the development of new FHE schemes and optimizations that significantly reduce computational overhead, making it feasible for use in scenarios like secure machine learning and data analysis. The post emphasizes the ongoing research and engineering efforts to bridge the gap between theoretical FHE capabilities and deployable solutions.