FedOcw: optimized federated learning for cross-lingual speech-based Parkinson’s disease detection

FedOcw: optimized federated learning for cross-lingual speech-based Parkinson’s disease detection

Accurate detection of Parkinson’s disease (PD) through speech analysis holds great promise for early diagnosis and improved patient management. However, developing robust machine learning models is challenging due to the decentralized nature of medical data and the substantial heterogeneity in multilingual PD speech datasets. Conventional federated learning (FL) methods struggle in these heterogeneous, non-independent and identically distributed…