ABE-FL: Efficient and secure federated learning based on CP-ABE with high-security elliptic curves

ABE-FL is a research system that combines CP-ABE (ciphertext-policy attribute-based encryption, a method where data is encrypted based on user attributes) with elliptic curves (mathematical structures used for strong cryptography) to enable federated learning (training AI models across multiple computers without sharing raw data in one place) securely. The system aims to make federated learning more efficient while maintaining high security standards. This is a published academic paper describing a proposed approach rather than a real-world product or incident.