Ultra-low communication overhead federated learning strategy for distributed wearable ECG networks
ECG-FedCS is proposed, a hardware-aware FL framework that dynamically modulates gradient sparsification intensity based on real-time ECG signal quality, QRS complex morphology, and heart-rate variability indices extracted on-device, establishing the first FL framework to achieve this Pareto improvement in a multi-protocol wearable cardiac IoT setting.