FedART: A neural model integrating federated learning and adaptive resonance theory

• Main Authors: PATERIA, Shubham, SUBAGDJA, Budhitama, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2025
• Subjects: Federated Learning; Machine Learning; Federated Clustering; Adaptive Resonance Theory; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9623; https://ink.library.smu.edu.sg/context/sis_research/article/10623/viewcontent/FedART_av.pdf
• Institution: Singapore Management University

Federated Learning (FL) has emerged as a promising paradigm for collaborative model training across distributed clients while preserving data privacy. However, prevailing FL approaches aggregate the clients’ local models into a global model through multi-round iterative parameter averaging. This lea...