Researchers propose Falcon, a privacy-preserving communication protocol for AI training and inference

Researchers hailing from Princeton, Microsoft, and Technion propose Falcon, a secure communications protocol for AI inferencing and training.

They claim that it’s the first secure C++ framework to support high-capacity AI models and batch normalization, a technique for improving both the speed and stability of models. Moreover, they say that Falcon automatically aborts when it detects the presence of malicious attackers, and that it can outperform existing solutions by up to a factor of 200.

Full article: Researchers propose Falcon, a privacy-preserving communication protocol for AI training and inference | VentureBeat