4.3.3 Performance and Practicality

Breaking the "Privacy Computing = High Threshold" Curse

Traditional privacy computing technologies often face problems of "high computing power consumption and complex deployment". Through three major optimizations, Anonymous Imperium has made the technology move from the "laboratory" to "large-scale commercial use":

• Algorithm lightweight: The BGV algorithm for homomorphic encryption is "circuit-optimized" to reduce computing complexity; the parameter updates for federated learning are "sparsified" to reduce data transmission volume, and the overall performance is improved by 300%.

• Hardware adaptation: For ordinary nodes in the DePIN network (such as home servers and personal computers), the hardware requirements for technology operation are optimized, and no dedicated computing power equipment is required to participate in privacy computing.

• Visual tools: A "privacy computing SDK" and a visual operation interface are provided. Enterprise users can quickly access the system without professional cryptography knowledge to complete operations such as data encryption, task distribution, and result verification.