WPEC 2024 Talk 2b4: Decentralized FHE computer and its applications

Abstract. In this talk, we will explain the concept of a Decentralized Fully Homomorphic Encryption (FHE) Computer. This system seamlessly integrates the principles of decentralized computing—security, privacy, fault tolerance, and resilience—with the advantages of Fully Homomorphic Encryption, resulting in a secure distributed network capable of performing computations on encrypted data. The results of these computations remain encrypted, and only the data owner, who possesses the decryption key, can decrypt and verify the output, thereby maintaining data privacy throughout the entire process. This topic directly addresses several key areas of interest:Applied and programmable cryptography;Cryptography use cases;Applications of ZK, FHE, and MPC;Decentralized FHE/MPC-based network architectures;The impact of applied crypto usability on a widespread adoption;Economics of computation in applied cryptography (e.g., market strategies).%%%The talk will provide in-depth insights into the practical applications of FHE within decentralized networks, highlighting the security and privacy benefits of this approach, along with the pros and cons it entails. I will present key points of our ongoing research and development, demonstrating how these advancements can address current challenges in secure multi-party computations, data analysis, privacy-preserving smart contracts, and collaborative computing. Additionally, I will discuss some of the known limitations and roadblocks in the adoption of FHE that we are currently working to overcome. My ultimate goal is to equip attendees with a deeper understanding of the potential and challenges of integrating FHE with decentralized systems, fostering advancements in secure and private computing technologies.

Joint work with: Fair Math team

[Slides]