Combining real field math with modulo operations allows for perfectly private computations over wireless networks.
Wireless data processing usually forces a trade-off between privacy and accuracy. This paper introduces a method that achieves both simultaneously without sacrificing performance. It uses a specific mathematical trick to ensure that raw data is never exposed while it is being calculated. This means sensors can share information and compute results without a central server ever seeing the private details. It provides a new blueprint for secure decentralized computing in mobile networks. Your personal data can now be processed by a crowd without anyone ever knowing your identity.
Perfectly Private Over-the-Air Computation
arXiv · 2604.28080
This paper studies a key research question: how to achieve perfect privacy in over-the-air computation (AirComp)? The problem is particularly intriguing due to a dilemma. Real-field operations can ensure invertibility but generally introduce statistical dependence, resulting in inevitable privacy leakage. In contrast, modulo operations can decorrelate the output from the original message, but suffer from the ill-posed invertibility when applied over non-prime groups (e.g., the real field). This