2026
BREAKING DATA EFFICIENCY DILEMMA: A FEDERATED AND AUGMENTED LEARNING FRAMEWORK FOR ALZHEIMER’S DISEASE DETECTION VIA SPEECH
ICASSP 2026poster
Early diagnosis of Alzheimer's Disease (AD) is crucial for delaying its progression. While AI-based speech detection is non-invasive and cost-effective, it faces a critical data efficiency dilemma due to medical data scarcity and privacy barriers. Therefore, we propose FAL-AD, a novel framework that…