Researchers propose Falcon, a privacy-preserving communication protocol for AI training and inference
April 11, 2020
In an academic paper published this week on the preprint server Arxiv.org, a team of researchers from Princeton, Microsoft, the nonprofit Algorand Foundation, and Technion propose Falcon, an end-to-end framework for secure computation of AI models on distributed systems. They claim that it’s the first secure C++ framework to support high-capacity AI models and batch normalization, a technique…