Abstract: Federated learning (FL) allows multiple clients to collaboratively learn a globally shared model through cycles of model aggregation and local model training, without the need to share data.

Abstract: Human posture recognition plays a vital role in diverse healthcare applications. Depth sensor-based techniques provide an accessible and cost-effective solution for continuous motion capture ...