Fhenix has announced a new partnership with Privasea, a leader in AI + DePIN computing focusing on FHEML. This collaboration aims to enhance the development of secure AI applications using Fully Homomorphic Encryption (FHE) by leveraging the expertise of both companies.
The Importance of FHE in the Age of AI
In today’s digital world where data is increasingly stored online, data privacy technologies have become vital. To safeguard our digital sovereignty in this era of rapid digital transformation, robust and trustless privacy technologies are essential. The rise of AI and Large Language Models (LLMs) has only increased the urgency for such technologies, as these models require vast amounts of data for training.
Fully Homomorphic Encryption (FHE) stands out as an ideal encryption solution for AI applications because it allows for direct processing on encrypted data. This capability enables LLMs to handle massive amounts of data without the need for decryption, ensuring safer and more secure interactions with AI technologies.
The collaboration between Privasea and Fhenix will capitalize on their unique expertise to drive research and development at the intersection of blockchain and artificial intelligence. This partnership will involve ongoing efforts to create FHE libraries, enhance communication channels between the two companies, and explore hardware acceleration initiatives.
Advancements in Software Development
Privasea and Fhenix will work together to expand Zama’s TFHE-rs library, a crucial component of their respective architectures. They will also aim to enable the integration of Privasea applications on Fhenix’s Layer 2 infrastructure.
Furthermore, the collaboration will explore the integration of other homomorphic encryption algorithms that support SIMD parallel processing and data packing, based on CKKS/BGV/BFV. This expanded support for large-scale, high-precision computing scenarios will broaden the market potential for both companies.
Hardware Acceleration Efforts
In addition to software development, Fhenix and Privasea will explore potential paths for hardware acceleration. This includes investigating high-parallelism, high-performance hardware like GPUs and FPGAs for acceleration on the underlying NTT/FFT. Such hardware advancements are expected to greatly enhance the efficiency of fully homomorphic encryption methods. The team is also considering the development of custom ASIC chips to further boost Fhenix’s performance.
In conclusion, the Fhenix-Privasea partnership represents a significant step forward in integrating Fully Homomorphic Encryption into AI and blockchain applications. The team looks forward to collaborating with Privasea to drive FHE into the AI era, enabling the creation of confidential smart contracts in the next generation of blockchain applications and unlocking new use cases in AI and beyond.
For more information, developers can refer to Fhenix’s documentation or reach out to the team on their Discord channel for inquiries about Fhenix and FHE.
