Fhenix and Privasea Join Forces to Advance Secure AI Applications with FHEML
In a groundbreaking collaboration, Fhenix has announced its partnership with Privasea, a trailblazer in AI + DePIN computing focusing on FHEML. This alliance aims to enhance the development of secure AI applications utilizing Fully Homomorphic Encryption (FHE) by leveraging the expertise of both Privasea and Fhenix.
The Importance of FHE in the AI Era
With the increasing amount of data being stored online, data privacy technologies have become more crucial than ever. In the era of AI and Large Language Models (LLMs), which rely on vast amounts of data for training, the need for robust and trustworthy privacy technology has become paramount.
Fully Homomorphic Encryption (FHE) stands out as an ideal encryption solution for artificial intelligence due to its ability to process encrypted data directly. This capability allows LLMs to handle large volumes of data for blind operations without the need for decryption, ensuring safer and more secure interactions with AI.
Collaboration in Software Development
Privasea and Fhenix will work together to enhance Zama’s TFHE-rs library, a key component of both projects’ architecture. They will also explore integrating Privasea apps on Fhenix’s Layer 2 infrastructure to expand their capabilities.
Furthermore, the two companies will investigate incorporating other homomorphic encryption algorithms that support SIMD parallel processing and data packing, based on CKKS/BGV/BFV. This effort will enable better support for high-precision computing scenarios, expanding the potential market for their products.
Advancements in Hardware Acceleration
In addition to software development, Fhenix and Privasea will explore hardware acceleration options, focusing on high-parallelism, high-performance hardware like GPUs and FPGAs for accelerating NTT/FFT operations. This hardware development is expected to significantly improve the efficiency of fully homomorphic encryption methods. The team is also considering programming custom ASIC chips to enhance Fhenix’s performance.
Conclusion
The collaboration between Fhenix and Privasea marks a major milestone in integrating Fully Homomorphic Encryption into AI and blockchain applications. The team is excited to work with Privasea and leverage their complementary expertise to drive FHE into the AI era.
The future holds the creation of confidential smart contracts using FHE in the next generation of blockchain applications, unlocking numerous new use cases including AI. For developers seeking more information, Fhenix’s documentation is a valuable resource, and any inquiries can be addressed in their Discord channel.
