Fully Homomorphic Encryption (FHE).

TL;DR

Fully Homomorphic Encryption (FHE) enables computations on encrypted data without decryption, offering enhanced data privacy and security.

Key points:

1. Definition: FHE schemes allow for computation directly on encrypted data, maintaining confidentiality throughout the process.

2. Functionality: With FHE, computations can be performed on ciphertexts, preserving the privacy of sensitive information.

3. Advantages: FHE has transformative potential in various fields like healthcare, finance, and cloud computing, enabling secure processing of confidential data.

4. Complexity: FHE introduces computational challenges due to the need for efficient encryption and computation algorithms.

5. Applications: FHE finds applications in privacy-preserving machine learning, secure cloud computing, and confidential data processing.

Sources.

zama.ai - TFHE Deep Dive - Part I