FedAvg for Privacy in The UCI Heart Disease Dataset with Analyzing Communication-Computation Trade-offs
Several studies use privacy-enhanced technologies (PETs) like federated learning (FL) for decentralized heart disease detection. However, conventional FL algorithms frequently suffer from model instability issues driven by dataset heterogeneity across medical institutions. This study implements a robust FL framework to...