FedSTEM-ADL: A federated spatial-temporal episodic memory model for ADL prediction

• Main Authors: WU, Doudou, PATERIA, Shubham, SUBAGDJA, Budhitama, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Federated Learning; Activities of Daily Living (ADLs); Self-Organizing Model; Fusion ART; Next Event Prediction; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9311; https://ink.library.smu.edu.sg/context/sis_research/article/10311/viewcontent/FedSTEM_ADL___IJCNN_2024.pdf
• Institution: Singapore Management University

Learning of Activities of Daily Living (ADLs) provides insights into an individual’s habits, lifestyle, and well-being. However, it is crucial to address data privacy concerns in practical situations when learning the ADL routines of individuals. In this paper, we introduce FedSTEM-ADL, a federated...