Federated Learning over Human-Body Communication for On-Body Edge Intelligence: A Survey, Taxonomy, and BODYFED-HBC Scheduling Vignette

In three linesSurvey paper at the intersection of human-body communication (HBC) and federated learning for wearable sensor networks. Proposes taxonomy of FL deployments (intra-body, body-hub, cross-user, clinical-cloud) and introduces BODYFED-HBC reference architecture with scheduling algorithm and reproducible simulation combining public datasets with empirical HBC signal-loss models.

Summary generated by Claude — human-verified