RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

AI Digest - ArXiv AI

RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

Retail search systems serve diverse geographic regions with distinct query patterns, vocabularies, and product preferences, creating significant data heterogeneity that challenges both privacy-preserving training and model personalization. Federated learning offers a natural solution for privacy, but standard FL methods produce global models that sacrifice regional performance, while existing personalized FL approaches operate at the parameter level and catastrophically collapse on modern transf

Source: ArXiv AI